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# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json # Schema for CodeRabbit configurations
language: "en-US"
early_access: true
reviews:
profile: "assertive"
request_changes_workflow: false
high_level_summary: true
poem: false
review_status: true
collapse_walkthrough: false
auto_review:
enabled: true
drafts: false
path_filters:
- "!tests/**/cassettes/**"
path_instructions:
- path: "tests/**"
instructions: |
- test functions shouldn't have a return type hint
- it's ok to use `assert` instead of `pytest.assume()`
chat:
auto_reply: true

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exclude: '.*\.ipynb$'
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
hooks:
- id: check-yaml
args: ['--unsafe']
- id: check-toml
- id: end-of-file-fixer
- id: trailing-whitespace
- repo: https://github.com/codespell-project/codespell
rev: v2.2.5
hooks:
- id: codespell
additional_dependencies:
- tomli
exclude: 'cassettes/'
- repo: local
hooks:
- id: lint
name: lint
entry: make lint
types: [python]
language: system
pass_filenames: false

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{
"python.testing.pytestArgs": [
"tests"
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
}

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MIT License
Copyright (c) 2020-2024 Ron Klinkien
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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.DEFAULT_GOAL := all
sources = garminconnect tests
.PHONY: .pdm ## Check that PDM is installed
.pdm:
@pdm -V || echo 'Please install PDM: https://pdm.fming.dev/latest/\#installation'
.PHONY: .pre-commit ## Check that pre-commit is installed
.pre-commit:
@pre-commit -V || echo 'Please install pre-commit: https://pre-commit.com/'
.PHONY: install ## Install the package, dependencies, and pre-commit for local development
install: .pdm .pre-commit
pdm install --group :all
pre-commit install --install-hooks
.PHONY: refresh-lockfiles ## Sync lockfiles with requirements files.
refresh-lockfiles: .pdm
pdm update --update-reuse --group :all
.PHONY: rebuild-lockfiles ## Rebuild lockfiles from scratch, updating all dependencies
rebuild-lockfiles: .pdm
pdm update --update-eager --group :all
.PHONY: format ## Auto-format python source files
format: .pdm
pdm run isort $(sources)
pdm run black -l 79 $(sources)
pdm run ruff check $(sources)
.PHONY: lint ## Lint python source files
lint: .pdm
pdm run isort --check-only $(sources)
pdm run ruff check $(sources)
pdm run black -l 79 $(sources) --check --diff
pdm run mypy $(sources)
.PHONY: codespell ## Use Codespell to do spellchecking
codespell: .pre-commit
pre-commit run codespell --all-files
.PHONY: .venv ## Install virtual environment
.venv:
python3 -m venv .venv
.PHONY: install ## Install package
install: .venv
pip3 install -qUe .
.PHONY: install-test ## Install package in development mode
install-test: .venv install
pip3 install -qU -r requirements-test.txt
.PHONY: test ## Run tests
test:
pytest --cov=garminconnect --cov-report=term-missing
.PHONY: test ## Run all tests, skipping the type-checker integration tests
test: .pdm
pdm run coverage run -m pytest -v --durations=10
.PHONY: testcov ## Run tests and generate a coverage report, skipping the type-checker integration tests
testcov: test
@echo "building coverage html"
@pdm run coverage html
@echo "building coverage xml"
@pdm run coverage xml -o coverage/coverage.xml
.PHONY: publish ## Publish to PyPi
publish: .pdm
pdm build
twine upload dist/*
.PHONY: all ## Run the standard set of checks performed in CI
all: lint typecheck codespell testcov
.PHONY: clean ## Clear local caches and build artifacts
clean:
find . -type d -name __pycache__ -exec rm -r {} +
find . -type f -name '*.py[co]' -exec rm -f {} +
find . -type f -name '*~' -exec rm -f {} +
find . -type f -name '.*~' -exec rm -f {} +
rm -rf .cache
rm -rf .pytest_cache
rm -rf .ruff_cache
rm -rf htmlcov
rm -rf *.egg-info
rm -f .coverage
rm -f .coverage.*
rm -rf build
rm -rf dist
rm -rf site
rm -rf docs/_build
rm -rf docs/.changelog.md docs/.version.md docs/.tmp_schema_mappings.html
rm -rf fastapi/test.db
rm -rf coverage.xml
.PHONY: help ## Display this message
help:
@grep -E \
'^.PHONY: .*?## .*$$' $(MAKEFILE_LIST) | \
sort | \
awk 'BEGIN {FS = ".PHONY: |## "}; {printf "\033[36m%-19s\033[0m %s\n", $$2, $$3}'

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# Python: Garmin Connect
```bash
$ ./example.py
*** Garmin Connect API Demo by cyberjunky ***
Trying to login to Garmin Connect using token data from directory '~/.garminconnect'...
1 -- Get full name
2 -- Get unit system
3 -- Get activity data for '2024-11-10'
4 -- Get activity data for '2024-11-10' (compatible with garminconnect-ha)
5 -- Get body composition data for '2024-11-10' (compatible with garminconnect-ha)
6 -- Get body composition data for from '2024-11-03' to '2024-11-10' (to be compatible with garminconnect-ha)
7 -- Get stats and body composition data for '2024-11-10'
8 -- Get steps data for '2024-11-10'
9 -- Get heart rate data for '2024-11-10'
0 -- Get training readiness data for '2024-11-10'
- -- Get daily step data for '2024-11-03' to '2024-11-10'
/ -- Get body battery data for '2024-11-03' to '2024-11-10'
! -- Get floors data for '2024-11-03'
? -- Get blood pressure data for '2024-11-03' to '2024-11-10'
. -- Get training status data for '2024-11-10'
a -- Get resting heart rate data for '2024-11-10'
b -- Get hydration data for '2024-11-10'
c -- Get sleep data for '2024-11-10'
d -- Get stress data for '2024-11-10'
e -- Get respiration data for '2024-11-10'
f -- Get SpO2 data for '2024-11-10'
g -- Get max metric data (like vo2MaxValue and fitnessAge) for '2024-11-10'
h -- Get personal record for user
i -- Get earned badges for user
j -- Get adhoc challenges data from start '0' and limit '100'
k -- Get available badge challenges data from '1' and limit '100'
l -- Get badge challenges data from '1' and limit '100'
m -- Get non completed badge challenges data from '1' and limit '100'
n -- Get activities data from start '0' and limit '100'
o -- Get last activity
p -- Download activities data by date from '2024-11-03' to '2024-11-10'
r -- Get all kinds of activities data from '0'
s -- Upload activity data from file 'MY_ACTIVITY.fit'
t -- Get all kinds of Garmin device info
u -- Get active goals
v -- Get future goals
w -- Get past goals
y -- Get all Garmin device alarms
x -- Get Heart Rate Variability data (HRV) for '2024-11-10'
z -- Get progress summary from '2024-11-03' to '2024-11-10' for all metrics
A -- Get gear, the defaults, activity types and statistics
B -- Get weight-ins from '2024-11-03' to '2024-11-10'
C -- Get daily weigh-ins for '2024-11-10'
D -- Delete all weigh-ins for '2024-11-10'
E -- Add a weigh-in of 89.6kg on '2024-11-10'
F -- Get virtual challenges/expeditions from '2024-11-03' to '2024-11-10'
G -- Get hill score data from '2024-11-03' to '2024-11-10'
H -- Get endurance score data from '2024-11-03' to '2024-11-10'
I -- Get activities for date '2024-11-10'
J -- Get race predictions
K -- Get all day stress data for '2024-11-10'
L -- Add body composition for '2024-11-10'
M -- Set blood pressure "120,80,80,notes='Testing with example.py'"
N -- Get user profile/settings
O -- Reload epoch data for '2024-11-10'
P -- Get workouts 0-100, get and download last one to .FIT file
R -- Get solar data from your devices
S -- Get pregnancy summary data
T -- Add hydration data
U -- Get Fitness Age data for '2024-11-10'
V -- Get daily wellness events data for '2024-11-03'
W -- Get userprofile settings
Z -- Remove stored login tokens (logout)
q -- Exit
Make your selection:
```
[![Donate](https://img.shields.io/badge/Donate-PayPal-green.svg)](https://www.paypal.me/cyberjunkynl/)
Python 3 API wrapper for Garmin Connect.
## About
This package allows you to request garmin device, activity and health data from your Garmin Connect account.
See <https://connect.garmin.com/>
## Installation
```bash
pip3 install garminconnect
```
## Authentication
The library uses the same authentication method as the app using [Garth](https://github.com/matin/garth).
The login credentials generated with Garth are valid for a year to avoid needing to login each time.
NOTE: We obtain the OAuth tokens using the consumer key and secret as the Connect app does.
`garth.sso.OAUTH_CONSUMER` can be set manually prior to calling api.login() if someone wants to use a custom consumer key and secret.
## Testing
The test files use the credential tokens created by `example.py` script, so use that first.
```bash
export GARMINTOKENS=~/.garminconnect
sudo apt install python3-pytest (needed some distros)
make install-test
make test
```
## Development
To create a development environment to commit code.
```bash
make .venv
source .venv/bin/activate
pip3 install pdm
pip3 install ruff
pdm init
sudo apt install pre-commit isort black mypy
pip3 install pre-commit
```
Run checks before PR/Commit:
```bash
make format
make lint
make codespell
```
## Publish
To publish new package (author only)
```bash
sudo apt install twine
vi ~/.pypirc
[pypi]
username = __token__
password = <PyPI token>
make publish
```
## Example
The tests provide examples of how to use the library.
There is a Jupyter notebook called `reference.ipynb` provided [here](https://github.com/cyberjunky/python-garminconnect/blob/master/reference.ipynb).
And you can check out the `example.py` code you can find [here](https://raw.githubusercontent.com/cyberjunky/python-garminconnect/master/example.py), you can run it like so:
```bash
pip3 install -r requirements-dev.txt
./example.py
```
## Credits
:heart: Special thanks to all people contributed, either by asking questions, reporting bugs, coming up with great ideas, or even by creating whole Pull Requests to add new features!
This project deserves more attention, but I'm struggling to free up time sometimes, so thank you for your patience too!
## Donations
[![Donate](https://img.shields.io/badge/Donate-PayPal-green.svg)](https://www.paypal.me/cyberjunkynl/)

956
python-garminconnect/example.py Executable file
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#!/usr/bin/env python3
"""
pip3 install garth requests readchar
export EMAIL=<your garmin email>
export PASSWORD=<your garmin password>
"""
import datetime
from datetime import timezone
import json
import logging
import os
import sys
from getpass import getpass
import readchar
import requests
from garth.exc import GarthHTTPError
from garminconnect import (
Garmin,
GarminConnectAuthenticationError,
GarminConnectConnectionError,
GarminConnectTooManyRequestsError,
)
# Configure debug logging
# logging.basicConfig(level=logging.DEBUG)
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Load environment variables if defined
email = os.getenv("EMAIL")
password = os.getenv("PASSWORD")
tokenstore = os.getenv("GARMINTOKENS") or "~/.garminconnect"
tokenstore_base64 = os.getenv("GARMINTOKENS_BASE64") or "~/.garminconnect_base64"
api = None
# Example selections and settings
# Let's say we want to scrape all activities using switch menu_option "p". We change the values of the below variables, IE startdate days, limit,...
today = datetime.date.today()
startdate = today - datetime.timedelta(days=7) # Select past week
start = 0
limit = 100
start_badge = 1 # Badge related calls calls start counting at 1
activitytype = "" # Possible values are: cycling, running, swimming, multi_sport, fitness_equipment, hiking, walking, other
activityfile = "MY_ACTIVITY.fit" # Supported file types are: .fit .gpx .tcx
weight = 89.6
weightunit = "kg"
# workout_example = """
# {
# 'workoutId': "random_id",
# 'ownerId': "random",
# 'workoutName': 'Any workout name',
# 'description': 'FTP 200, TSS 1, NP 114, IF 0.57',
# 'sportType': {'sportTypeId': 2, 'sportTypeKey': 'cycling'},
# 'workoutSegments': [
# {
# 'segmentOrder': 1,
# 'sportType': {'sportTypeId': 2, 'sportTypeKey': 'cycling'},
# 'workoutSteps': [
# {'type': 'ExecutableStepDTO', 'stepOrder': 1,
# 'stepType': {'stepTypeId': 3, 'stepTypeKey': 'interval'}, 'childStepId': None,
# 'endCondition': {'conditionTypeId': 2, 'conditionTypeKey': 'time'}, 'endConditionValue': 60,
# 'targetType': {'workoutTargetTypeId': 2, 'workoutTargetTypeKey': 'power.zone'},
# 'targetValueOne': 95, 'targetValueTwo': 105},
# {'type': 'ExecutableStepDTO', 'stepOrder': 2,
# 'stepType': {'stepTypeId': 3, 'stepTypeKey': 'interval'}, 'childStepId': None,
# 'endCondition': {'conditionTypeId': 2, 'conditionTypeKey': 'time'}, 'endConditionValue': 120,
# 'targetType': {'workoutTargetTypeId': 2, 'workoutTargetTypeKey': 'power.zone'},
# 'targetValueOne': 114, 'targetValueTwo': 126}
# ]
# }
# ]
# }
# """
menu_options = {
"1": "Get full name",
"2": "Get unit system",
"3": f"Get activity data for '{today.isoformat()}'",
"4": f"Get activity data for '{today.isoformat()}' (compatible with garminconnect-ha)",
"5": f"Get body composition data for '{today.isoformat()}' (compatible with garminconnect-ha)",
"6": f"Get body composition data for from '{startdate.isoformat()}' to '{today.isoformat()}' (to be compatible with garminconnect-ha)",
"7": f"Get stats and body composition data for '{today.isoformat()}'",
"8": f"Get steps data for '{today.isoformat()}'",
"9": f"Get heart rate data for '{today.isoformat()}'",
"0": f"Get training readiness data for '{today.isoformat()}'",
"-": f"Get daily step data for '{startdate.isoformat()}' to '{today.isoformat()}'",
"/": f"Get body battery data for '{startdate.isoformat()}' to '{today.isoformat()}'",
"!": f"Get floors data for '{startdate.isoformat()}'",
"?": f"Get blood pressure data for '{startdate.isoformat()}' to '{today.isoformat()}'",
".": f"Get training status data for '{today.isoformat()}'",
"a": f"Get resting heart rate data for {today.isoformat()}'",
"b": f"Get hydration data for '{today.isoformat()}'",
"c": f"Get sleep data for '{today.isoformat()}'",
"d": f"Get stress data for '{today.isoformat()}'",
"e": f"Get respiration data for '{today.isoformat()}'",
"f": f"Get SpO2 data for '{today.isoformat()}'",
"g": f"Get max metric data (like vo2MaxValue and fitnessAge) for '{today.isoformat()}'",
"h": "Get personal record for user",
"i": "Get earned badges for user",
"j": f"Get adhoc challenges data from start '{start}' and limit '{limit}'",
"k": f"Get available badge challenges data from '{start_badge}' and limit '{limit}'",
"l": f"Get badge challenges data from '{start_badge}' and limit '{limit}'",
"m": f"Get non completed badge challenges data from '{start_badge}' and limit '{limit}'",
"n": f"Get activities data from start '{start}' and limit '{limit}'",
"o": "Get last activity",
"p": f"Download activities data by date from '{startdate.isoformat()}' to '{today.isoformat()}'",
"r": f"Get all kinds of activities data from '{start}'",
"s": f"Upload activity data from file '{activityfile}'",
"t": "Get all kinds of Garmin device info",
"u": "Get active goals",
"v": "Get future goals",
"w": "Get past goals",
"y": "Get all Garmin device alarms",
"x": f"Get Heart Rate Variability data (HRV) for '{today.isoformat()}'",
"z": f"Get progress summary from '{startdate.isoformat()}' to '{today.isoformat()}' for all metrics",
"A": "Get gear, the defaults, activity types and statistics",
"B": f"Get weight-ins from '{startdate.isoformat()}' to '{today.isoformat()}'",
"C": f"Get daily weigh-ins for '{today.isoformat()}'",
"D": f"Delete all weigh-ins for '{today.isoformat()}'",
"E": f"Add a weigh-in of {weight}{weightunit} on '{today.isoformat()}'",
"F": f"Get virtual challenges/expeditions from '{startdate.isoformat()}' to '{today.isoformat()}'",
"G": f"Get hill score data from '{startdate.isoformat()}' to '{today.isoformat()}'",
"H": f"Get endurance score data from '{startdate.isoformat()}' to '{today.isoformat()}'",
"I": f"Get activities for date '{today.isoformat()}'",
"J": "Get race predictions",
"K": f"Get all day stress data for '{today.isoformat()}'",
"L": f"Add body composition for '{today.isoformat()}'",
"M": "Set blood pressure '120,80,80,notes='Testing with example.py'",
"N": "Get user profile/settings",
"O": f"Reload epoch data for {today.isoformat()}",
"P": "Get workouts 0-100, get and download last one to .FIT file",
# "Q": "Upload workout from json data",
"R": "Get solar data from your devices",
"S": "Get pregnancy summary data",
"T": "Add hydration data",
"U": f"Get Fitness Age data for {today.isoformat()}",
"V": f"Get daily wellness events data for {startdate.isoformat()}",
"W": "Get userprofile settings",
"Z": "Remove stored login tokens (logout)",
"q": "Exit",
}
def display_json(api_call, output):
"""Format API output for better readability."""
dashed = "-" * 20
header = f"{dashed} {api_call} {dashed}"
footer = "-" * len(header)
# print(header)
# if isinstance(output, (int, str, dict, list)):
# print(json.dumps(output, indent=4))
# else:
# print(output)
# print(footer)
# Format the output
if isinstance(output, (int, str, dict, list)):
formatted_output = json.dumps(output, indent=4)
else:
formatted_output = str(output)
# Combine the header, output, and footer
full_output = f"{header}\n{formatted_output}\n{footer}"
# Print to console
print(full_output)
# Save to a file
output_filename = "response.json"
with open(output_filename, "w") as file:
file.write(full_output)
print(f"Output saved to {output_filename}")
def display_text(output):
"""Format API output for better readability."""
dashed = "-" * 60
header = f"{dashed}"
footer = "-" * len(header)
print(header)
print(json.dumps(output, indent=4))
print(footer)
def get_credentials():
"""Get user credentials."""
email = input("Login e-mail: ")
password = getpass("Enter password: ")
return email, password
def init_api(email, password):
"""Initialize Garmin API with your credentials."""
try:
# Using Oauth1 and OAuth2 token files from directory
print(
f"Trying to login to Garmin Connect using token data from directory '{tokenstore}'...\n"
)
# Using Oauth1 and Oauth2 tokens from base64 encoded string
# print(
# f"Trying to login to Garmin Connect using token data from file '{tokenstore_base64}'...\n"
# )
# dir_path = os.path.expanduser(tokenstore_base64)
# with open(dir_path, "r") as token_file:
# tokenstore = token_file.read()
garmin = Garmin()
garmin.login(tokenstore)
except (FileNotFoundError, GarthHTTPError, GarminConnectAuthenticationError):
# Session is expired. You'll need to log in again
print(
"Login tokens not present, login with your Garmin Connect credentials to generate them.\n"
f"They will be stored in '{tokenstore}' for future use.\n"
)
try:
# Ask for credentials if not set as environment variables
if not email or not password:
email, password = get_credentials()
garmin = Garmin(
email=email, password=password, is_cn=False, return_on_mfa=True
)
result1, result2 = garmin.login()
if result1 == "needs_mfa": # MFA is required
mfa_code = get_mfa()
garmin.resume_login(result2, mfa_code)
# Save Oauth1 and Oauth2 token files to directory for next login
garmin.garth.dump(tokenstore)
print(
f"Oauth tokens stored in '{tokenstore}' directory for future use. (first method)\n"
)
# Encode Oauth1 and Oauth2 tokens to base64 string and safe to file for next login (alternative way)
token_base64 = garmin.garth.dumps()
dir_path = os.path.expanduser(tokenstore_base64)
with open(dir_path, "w") as token_file:
token_file.write(token_base64)
print(
f"Oauth tokens encoded as base64 string and saved to '{dir_path}' file for future use. (second method)\n"
)
# Re-login Garmin API with tokens
garmin.login(tokenstore)
except (
FileNotFoundError,
GarthHTTPError,
GarminConnectAuthenticationError,
requests.exceptions.HTTPError,
) as err:
logger.error(err)
return None
return garmin
def get_mfa():
"""Get MFA."""
return input("MFA one-time code: ")
def print_menu():
"""Print examples menu."""
for key in menu_options.keys():
print(f"{key} -- {menu_options[key]}")
print("Make your selection: ", end="", flush=True)
def switch(api, i):
"""Run selected API call."""
# Exit example program
if i == "q":
print("Be active, generate some data to fetch next time ;-) Bye!")
sys.exit()
# Skip requests if login failed
if api:
try:
print(f"\n\nExecuting: {menu_options[i]}\n")
# USER BASICS
if i == "1":
# Get full name from profile
display_json("api.get_full_name()", api.get_full_name())
elif i == "2":
# Get unit system from profile
display_json("api.get_unit_system()", api.get_unit_system())
# USER STATISTIC SUMMARIES
elif i == "3":
# Get activity data for 'YYYY-MM-DD'
display_json(
f"api.get_stats('{today.isoformat()}')",
api.get_stats(today.isoformat()),
)
elif i == "4":
# Get activity data (to be compatible with garminconnect-ha)
display_json(
f"api.get_user_summary('{today.isoformat()}')",
api.get_user_summary(today.isoformat()),
)
elif i == "5":
# Get body composition data for 'YYYY-MM-DD' (to be compatible with garminconnect-ha)
display_json(
f"api.get_body_composition('{today.isoformat()}')",
api.get_body_composition(today.isoformat()),
)
elif i == "6":
# Get body composition data for multiple days 'YYYY-MM-DD' (to be compatible with garminconnect-ha)
display_json(
f"api.get_body_composition('{startdate.isoformat()}', '{today.isoformat()}')",
api.get_body_composition(startdate.isoformat(), today.isoformat()),
)
elif i == "7":
# Get stats and body composition data for 'YYYY-MM-DD'
display_json(
f"api.get_stats_and_body('{today.isoformat()}')",
api.get_stats_and_body(today.isoformat()),
)
# USER STATISTICS LOGGED
elif i == "8":
# Get steps data for 'YYYY-MM-DD'
display_json(
f"api.get_steps_data('{today.isoformat()}')",
api.get_steps_data(today.isoformat()),
)
elif i == "9":
# Get heart rate data for 'YYYY-MM-DD'
display_json(
f"api.get_heart_rates('{today.isoformat()}')",
api.get_heart_rates(today.isoformat()),
)
elif i == "0":
# Get training readiness data for 'YYYY-MM-DD'
display_json(
f"api.get_training_readiness('{today.isoformat()}')",
api.get_training_readiness(today.isoformat()),
)
elif i == "/":
# Get daily body battery data for 'YYYY-MM-DD' to 'YYYY-MM-DD'
display_json(
f"api.get_body_battery('{startdate.isoformat()}, {today.isoformat()}')",
api.get_body_battery(startdate.isoformat(), today.isoformat()),
)
# Get daily body battery event data for 'YYYY-MM-DD'
display_json(
f"api.get_body_battery_events('{startdate.isoformat()}, {today.isoformat()}')",
api.get_body_battery_events(startdate.isoformat()),
)
elif i == "?":
# Get daily blood pressure data for 'YYYY-MM-DD' to 'YYYY-MM-DD'
display_json(
f"api.get_blood_pressure('{startdate.isoformat()}, {today.isoformat()}')",
api.get_blood_pressure(startdate.isoformat(), today.isoformat()),
)
elif i == "-":
# Get daily step data for 'YYYY-MM-DD'
display_json(
f"api.get_daily_steps('{startdate.isoformat()}, {today.isoformat()}')",
api.get_daily_steps(startdate.isoformat(), today.isoformat()),
)
elif i == "!":
# Get daily floors data for 'YYYY-MM-DD'
display_json(
f"api.get_floors('{today.isoformat()}')",
api.get_floors(today.isoformat()),
)
elif i == ".":
# Get training status data for 'YYYY-MM-DD'
display_json(
f"api.get_training_status('{today.isoformat()}')",
api.get_training_status(today.isoformat()),
)
elif i == "a":
# Get resting heart rate data for 'YYYY-MM-DD'
display_json(
f"api.get_rhr_day('{today.isoformat()}')",
api.get_rhr_day(today.isoformat()),
)
elif i == "b":
# Get hydration data 'YYYY-MM-DD'
display_json(
f"api.get_hydration_data('{today.isoformat()}')",
api.get_hydration_data(today.isoformat()),
)
elif i == "c":
# Get sleep data for 'YYYY-MM-DD'
display_json(
f"api.get_sleep_data('{today.isoformat()}')",
api.get_sleep_data(today.isoformat()),
)
elif i == "d":
# Get stress data for 'YYYY-MM-DD'
display_json(
f"api.get_stress_data('{today.isoformat()}')",
api.get_stress_data(today.isoformat()),
)
elif i == "e":
# Get respiration data for 'YYYY-MM-DD'
display_json(
f"api.get_respiration_data('{today.isoformat()}')",
api.get_respiration_data(today.isoformat()),
)
elif i == "f":
# Get SpO2 data for 'YYYY-MM-DD'
display_json(
f"api.get_spo2_data('{today.isoformat()}')",
api.get_spo2_data(today.isoformat()),
)
elif i == "g":
# Get max metric data (like vo2MaxValue and fitnessAge) for 'YYYY-MM-DD'
display_json(
f"api.get_max_metrics('{today.isoformat()}')",
api.get_max_metrics(today.isoformat()),
)
elif i == "h":
# Get personal record for user
display_json("api.get_personal_record()", api.get_personal_record())
elif i == "i":
# Get earned badges for user
display_json("api.get_earned_badges()", api.get_earned_badges())
elif i == "j":
# Get adhoc challenges data from start and limit
display_json(
f"api.get_adhoc_challenges({start},{limit})",
api.get_adhoc_challenges(start, limit),
) # 1=start, 100=limit
elif i == "k":
# Get available badge challenges data from start and limit
display_json(
f"api.get_available_badge_challenges({start_badge}, {limit})",
api.get_available_badge_challenges(start_badge, limit),
) # 1=start, 100=limit
elif i == "l":
# Get badge challenges data from start and limit
display_json(
f"api.get_badge_challenges({start_badge}, {limit})",
api.get_badge_challenges(start_badge, limit),
) # 1=start, 100=limit
elif i == "m":
# Get non completed badge challenges data from start and limit
display_json(
f"api.get_non_completed_badge_challenges({start_badge}, {limit})",
api.get_non_completed_badge_challenges(start_badge, limit),
) # 1=start, 100=limit
# ACTIVITIES
elif i == "n":
# Get activities data from start and limit
display_json(
f"api.get_activities({start}, {limit})",
api.get_activities(start, limit),
) # 0=start, 1=limit
elif i == "o":
# Get last activity
display_json("api.get_last_activity()", api.get_last_activity())
elif i == "p":
# Get activities data from startdate 'YYYY-MM-DD' to enddate 'YYYY-MM-DD', with (optional) activitytype
# Possible values are: cycling, running, swimming, multi_sport, fitness_equipment, hiking, walking, other
activities = api.get_activities_by_date(
startdate.isoformat(), today.isoformat(), activitytype
)
# Download activities
for activity in activities:
activity_start_time = datetime.datetime.strptime(
activity["startTimeLocal"], "%Y-%m-%d %H:%M:%S"
).strftime(
"%d-%m-%Y"
) # Format as DD-MM-YYYY, for creating unique activity names for scraping
activity_id = activity["activityId"]
activity_name = activity["activityName"]
display_text(activity)
print(
f"api.download_activity({activity_id}, dl_fmt=api.ActivityDownloadFormat.GPX)"
)
gpx_data = api.download_activity(
activity_id, dl_fmt=api.ActivityDownloadFormat.GPX
)
output_file = f"./{str(activity_name)}_{str(activity_start_time)}_{str(activity_id)}.gpx"
with open(output_file, "wb") as fb:
fb.write(gpx_data)
print(f"Activity data downloaded to file {output_file}")
print(
f"api.download_activity({activity_id}, dl_fmt=api.ActivityDownloadFormat.TCX)"
)
tcx_data = api.download_activity(
activity_id, dl_fmt=api.ActivityDownloadFormat.TCX
)
output_file = f"./{str(activity_name)}_{str(activity_start_time)}_{str(activity_id)}.tcx"
with open(output_file, "wb") as fb:
fb.write(tcx_data)
print(f"Activity data downloaded to file {output_file}")
print(
f"api.download_activity({activity_id}, dl_fmt=api.ActivityDownloadFormat.ORIGINAL)"
)
zip_data = api.download_activity(
activity_id, dl_fmt=api.ActivityDownloadFormat.ORIGINAL
)
output_file = f"./{str(activity_name)}_{str(activity_start_time)}_{str(activity_id)}.zip"
with open(output_file, "wb") as fb:
fb.write(zip_data)
print(f"Activity data downloaded to file {output_file}")
print(
f"api.download_activity({activity_id}, dl_fmt=api.ActivityDownloadFormat.CSV)"
)
csv_data = api.download_activity(
activity_id, dl_fmt=api.ActivityDownloadFormat.CSV
)
output_file = f"./{str(activity_name)}_{str(activity_start_time)}_{str(activity_id)}.csv"
with open(output_file, "wb") as fb:
fb.write(csv_data)
print(f"Activity data downloaded to file {output_file}")
elif i == "r":
# Get activities data from start and limit
activities = api.get_activities(start, limit) # 0=start, 1=limit
# Get activity splits
first_activity_id = activities[0].get("activityId")
display_json(
f"api.get_activity_splits({first_activity_id})",
api.get_activity_splits(first_activity_id),
)
# Get activity typed splits
display_json(
f"api.get_activity_typed_splits({first_activity_id})",
api.get_activity_typed_splits(first_activity_id),
)
# Get activity split summaries for activity id
display_json(
f"api.get_activity_split_summaries({first_activity_id})",
api.get_activity_split_summaries(first_activity_id),
)
# Get activity weather data for activity
display_json(
f"api.get_activity_weather({first_activity_id})",
api.get_activity_weather(first_activity_id),
)
# Get activity hr timezones id
display_json(
f"api.get_activity_hr_in_timezones({first_activity_id})",
api.get_activity_hr_in_timezones(first_activity_id),
)
# Get activity details for activity id
display_json(
f"api.get_activity_details({first_activity_id})",
api.get_activity_details(first_activity_id),
)
# Get gear data for activity id
display_json(
f"api.get_activity_gear({first_activity_id})",
api.get_activity_gear(first_activity_id),
)
# Activity data for activity id
display_json(
f"api.get_activity({first_activity_id})",
api.get_activity(first_activity_id),
)
# Get exercise sets in case the activity is a strength_training
if activities[0]["activityType"]["typeKey"] == "strength_training":
display_json(
f"api.get_activity_exercise_sets({first_activity_id})",
api.get_activity_exercise_sets(first_activity_id),
)
elif i == "s":
try:
# Upload activity from file
display_json(
f"api.upload_activity({activityfile})",
api.upload_activity(activityfile),
)
except FileNotFoundError:
print(f"File to upload not found: {activityfile}")
# DEVICES
elif i == "t":
# Get Garmin devices
devices = api.get_devices()
display_json("api.get_devices()", devices)
# Get device last used
device_last_used = api.get_device_last_used()
display_json("api.get_device_last_used()", device_last_used)
# Get settings per device
for device in devices:
device_id = device["deviceId"]
display_json(
f"api.get_device_settings({device_id})",
api.get_device_settings(device_id),
)
# Get primary training device information
primary_training_device = api.get_primary_training_device()
display_json(
"api.get_primary_training_device()", primary_training_device
)
elif i == "R":
# Get solar data from Garmin devices
devices = api.get_devices()
display_json("api.get_devices()", devices)
# Get device last used
device_last_used = api.get_device_last_used()
display_json("api.get_device_last_used()", device_last_used)
# Get settings per device
for device in devices:
device_id = device["deviceId"]
display_json(
f"api.get_device_solar_data({device_id}, {today.isoformat()})",
api.get_device_solar_data(device_id, today.isoformat()),
)
# GOALS
elif i == "u":
# Get active goals
goals = api.get_goals("active")
display_json('api.get_goals("active")', goals)
elif i == "v":
# Get future goals
goals = api.get_goals("future")
display_json('api.get_goals("future")', goals)
elif i == "w":
# Get past goals
goals = api.get_goals("past")
display_json('api.get_goals("past")', goals)
# ALARMS
elif i == "y":
# Get Garmin device alarms
alarms = api.get_device_alarms()
for alarm in alarms:
alarm_id = alarm["alarmId"]
display_json(f"api.get_device_alarms({alarm_id})", alarm)
elif i == "x":
# Get Heart Rate Variability (hrv) data
display_json(
f"api.get_hrv_data({today.isoformat()})",
api.get_hrv_data(today.isoformat()),
)
elif i == "z":
# Get progress summary
for metric in [
"elevationGain",
"duration",
"distance",
"movingDuration",
]:
display_json(
f"api.get_progress_summary_between_dates({today.isoformat()})",
api.get_progress_summary_between_dates(
startdate.isoformat(), today.isoformat(), metric
),
)
# GEAR
elif i == "A":
last_used_device = api.get_device_last_used()
display_json("api.get_device_last_used()", last_used_device)
userProfileNumber = last_used_device["userProfileNumber"]
gear = api.get_gear(userProfileNumber)
display_json("api.get_gear()", gear)
display_json(
"api.get_gear_defaults()", api.get_gear_defaults(userProfileNumber)
)
display_json("api.get()", api.get_activity_types())
for gear in gear:
uuid = gear["uuid"]
name = gear["displayName"]
display_json(
f"api.get_gear_stats({uuid}) / {name}", api.get_gear_stats(uuid)
)
# WEIGHT-INS
elif i == "B":
# Get weigh-ins data
display_json(
f"api.get_weigh_ins({startdate.isoformat()}, {today.isoformat()})",
api.get_weigh_ins(startdate.isoformat(), today.isoformat()),
)
elif i == "C":
# Get daily weigh-ins data
display_json(
f"api.get_daily_weigh_ins({today.isoformat()})",
api.get_daily_weigh_ins(today.isoformat()),
)
elif i == "D":
# Delete weigh-ins data for today
display_json(
f"api.delete_weigh_ins({today.isoformat()}, delete_all=True)",
api.delete_weigh_ins(today.isoformat(), delete_all=True),
)
elif i == "E":
# Add a weigh-in
display_json(
f"api.add_weigh_in(weight={weight}, unitKey={weightunit})",
api.add_weigh_in(weight=weight, unitKey=weightunit),
)
# Add a weigh-in with timestamps
yesterday = today - datetime.timedelta(days=1) # Get yesterday's date
weigh_in_date = datetime.datetime.strptime(yesterday.isoformat(), "%Y-%m-%d")
local_timestamp = weigh_in_date.strftime('%Y-%m-%dT%H:%M:%S')
gmt_timestamp = weigh_in_date.astimezone(timezone.utc).strftime('%Y-%m-%dT%H:%M:%S')
display_json(
f"api.add_weigh_in_with_timestamps(weight={weight}, unitKey={weightunit}, dateTimestamp={local_timestamp}, gmtTimestamp={gmt_timestamp})",
api.add_weigh_in_with_timestamps(
weight=weight,
unitKey=weightunit,
dateTimestamp=local_timestamp,
gmtTimestamp=gmt_timestamp
)
)
# CHALLENGES/EXPEDITIONS
elif i == "F":
# Get virtual challenges/expeditions
display_json(
f"api.get_inprogress_virtual_challenges({startdate.isoformat()}, {today.isoformat()})",
api.get_inprogress_virtual_challenges(
startdate.isoformat(), today.isoformat()
),
)
elif i == "G":
# Get hill score data
display_json(
f"api.get_hill_score({startdate.isoformat()}, {today.isoformat()})",
api.get_hill_score(startdate.isoformat(), today.isoformat()),
)
elif i == "H":
# Get endurance score data
display_json(
f"api.get_endurance_score({startdate.isoformat()}, {today.isoformat()})",
api.get_endurance_score(startdate.isoformat(), today.isoformat()),
)
elif i == "I":
# Get activities for date
display_json(
f"api.get_activities_fordate({today.isoformat()})",
api.get_activities_fordate(today.isoformat()),
)
elif i == "J":
# Get race predictions
display_json("api.get_race_predictions()", api.get_race_predictions())
elif i == "K":
# Get all day stress data for date
display_json(
f"api.get_all_day_stress({today.isoformat()})",
api.get_all_day_stress(today.isoformat()),
)
elif i == "L":
# Add body composition
weight = 70.0
percent_fat = 15.4
percent_hydration = 54.8
visceral_fat_mass = 10.8
bone_mass = 2.9
muscle_mass = 55.2
basal_met = 1454.1
active_met = None
physique_rating = None
metabolic_age = 33.0
visceral_fat_rating = None
bmi = 22.2
display_json(
f"api.add_body_composition({today.isoformat()}, {weight}, {percent_fat}, {percent_hydration}, {visceral_fat_mass}, {bone_mass}, {muscle_mass}, {basal_met}, {active_met}, {physique_rating}, {metabolic_age}, {visceral_fat_rating}, {bmi})",
api.add_body_composition(
today.isoformat(),
weight=weight,
percent_fat=percent_fat,
percent_hydration=percent_hydration,
visceral_fat_mass=visceral_fat_mass,
bone_mass=bone_mass,
muscle_mass=muscle_mass,
basal_met=basal_met,
active_met=active_met,
physique_rating=physique_rating,
metabolic_age=metabolic_age,
visceral_fat_rating=visceral_fat_rating,
bmi=bmi,
),
)
elif i == "M":
# Set blood pressure values
display_json(
"api.set_blood_pressure(120, 80, 80, notes=`Testing with example.py`)",
api.set_blood_pressure(
120, 80, 80, notes="Testing with example.py"
),
)
elif i == "N":
# Get user profile
display_json("api.get_user_profile()", api.get_user_profile())
elif i == "O":
# Reload epoch data for date
display_json(
f"api.request_reload({today.isoformat()})",
api.request_reload(today.isoformat()),
)
# WORKOUTS
elif i == "P":
workouts = api.get_workouts()
# Get workout 0-100
display_json("api.get_workouts()", api.get_workouts())
# Get last fetched workout
workout_id = workouts[-1]["workoutId"]
workout_name = workouts[-1]["workoutName"]
display_json(
f"api.get_workout_by_id({workout_id})",
api.get_workout_by_id(workout_id),
)
# Download last fetched workout
print(f"api.download_workout({workout_id})")
workout_data = api.download_workout(workout_id)
output_file = f"./{str(workout_name)}.fit"
with open(output_file, "wb") as fb:
fb.write(workout_data)
print(f"Workout data downloaded to file {output_file}")
# elif i == "Q":
# display_json(
# f"api.upload_workout({workout_example})",
# api.upload_workout(workout_example))
# DAILY EVENTS
elif i == "V":
# Get all day wellness events for 7 days ago
display_json(
f"api.get_all_day_events({today.isoformat()})",
api.get_all_day_events(startdate.isoformat()),
)
# WOMEN'S HEALTH
elif i == "S":
# Get pregnancy summary data
display_json("api.get_pregnancy_summary()", api.get_pregnancy_summary())
# Additional related calls:
# get_menstrual_data_for_date(self, fordate: str): takes a single date and returns the Garmin Menstrual Summary data for that date
# get_menstrual_calendar_data(self, startdate: str, enddate: str) takes two dates and returns summaries of cycles that have days between the two days
elif i == "T":
# Add hydration data for today
value_in_ml = 240
raw_date = datetime.date.today()
cdate = str(raw_date)
raw_ts = datetime.datetime.now()
timestamp = datetime.datetime.strftime(raw_ts, "%Y-%m-%dT%H:%M:%S.%f")
display_json(
f"api.add_hydration_data(value_in_ml={value_in_ml},cdate='{cdate}',timestamp='{timestamp}')",
api.add_hydration_data(
value_in_ml=value_in_ml, cdate=cdate, timestamp=timestamp
),
)
elif i == "U":
# Get fitness age data
display_json(
f"api.get_fitnessage_data({today.isoformat()})",
api.get_fitnessage_data(today.isoformat()),
)
elif i == "W":
# Get userprofile settings
display_json(
"api.get_userprofile_settings()", api.get_userprofile_settings()
)
elif i == "Z":
# Remove stored login tokens for Garmin Connect portal
tokendir = os.path.expanduser(tokenstore)
print(f"Removing stored login tokens from: {tokendir}")
try:
for root, dirs, files in os.walk(tokendir, topdown=False):
for name in files:
os.remove(os.path.join(root, name))
for name in dirs:
os.rmdir(os.path.join(root, name))
print(f"Directory {tokendir} removed")
except FileNotFoundError:
print(f"Directory not found: {tokendir}")
api = None
except (
GarminConnectConnectionError,
GarminConnectAuthenticationError,
GarminConnectTooManyRequestsError,
requests.exceptions.HTTPError,
GarthHTTPError,
) as err:
logger.error(err)
except KeyError:
# Invalid menu option chosen
pass
else:
print("Could not login to Garmin Connect, try again later.")
# Main program loop
while True:
# Display header and login
print("\n*** Garmin Connect API Demo by cyberjunky ***\n")
# Init API
if not api:
api = init_api(email, password)
if api:
# Display menu
print_menu()
option = readchar.readkey()
switch(api, option)
else:
api = init_api(email, password)

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@@ -0,0 +1,219 @@
#!/usr/bin/env python3
"""
pip3 install garth requests readchar
export EMAIL=<your garmin email>
export PASSWORD=<your garmin password>
"""
import datetime
import json
import logging
import os
from getpass import getpass
import requests
from garth.exc import GarthHTTPError
from garminconnect import (
Garmin,
GarminConnectAuthenticationError,
GarminConnectConnectionError,
GarminConnectTooManyRequestsError,
)
# Configure debug logging
# logging.basicConfig(level=logging.DEBUG)
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Load environment variables if defined
email = os.getenv("EMAIL")
password = os.getenv("PASSWORD")
tokenstore = os.getenv("GARMINTOKENS") or "~/.garminconnect"
tokenstore_base64 = os.getenv("GARMINTOKENS_BASE64") or "~/.garminconnect_base64"
api = None
# Example selections and settings
today = datetime.date.today()
startdate = today - datetime.timedelta(days=7) # Select past week
start = 0
limit = 100
start_badge = 1 # Badge related calls calls start counting at 1
activitytype = "" # Possible values are: cycling, running, swimming, multi_sport, fitness_equipment, hiking, walking, other
activityfile = "MY_ACTIVITY.fit" # Supported file types are: .fit .gpx .tcx
weight = 89.6
weightunit = "kg"
gearUUID = "MY_GEAR_UUID"
def display_json(api_call, output):
"""Format API output for better readability."""
dashed = "-" * 20
header = f"{dashed} {api_call} {dashed}"
footer = "-" * len(header)
print(header)
if isinstance(output, (int, str, dict, list)):
print(json.dumps(output, indent=4))
else:
print(output)
print(footer)
def display_text(output):
"""Format API output for better readability."""
dashed = "-" * 60
header = f"{dashed}"
footer = "-" * len(header)
print(header)
print(json.dumps(output, indent=4))
print(footer)
def get_credentials():
"""Get user credentials."""
email = input("Login e-mail: ")
password = getpass("Enter password: ")
return email, password
def init_api(email, password):
"""Initialize Garmin API with your credentials."""
try:
# Using Oauth1 and OAuth2 token files from directory
print(
f"Trying to login to Garmin Connect using token data from directory '{tokenstore}'...\n"
)
# Using Oauth1 and Oauth2 tokens from base64 encoded string
# print(
# f"Trying to login to Garmin Connect using token data from file '{tokenstore_base64}'...\n"
# )
# dir_path = os.path.expanduser(tokenstore_base64)
# with open(dir_path, "r") as token_file:
# tokenstore = token_file.read()
garmin = Garmin()
garmin.login(tokenstore)
except (FileNotFoundError, GarthHTTPError, GarminConnectAuthenticationError):
# Session is expired. You'll need to log in again
print(
"Login tokens not present, login with your Garmin Connect credentials to generate them.\n"
f"They will be stored in '{tokenstore}' for future use.\n"
)
try:
# Ask for credentials if not set as environment variables
if not email or not password:
email, password = get_credentials()
garmin = Garmin(
email=email, password=password, is_cn=False, prompt_mfa=get_mfa
)
garmin.login()
# Save Oauth1 and Oauth2 token files to directory for next login
garmin.garth.dump(tokenstore)
print(
f"Oauth tokens stored in '{tokenstore}' directory for future use. (first method)\n"
)
# Encode Oauth1 and Oauth2 tokens to base64 string and safe to file for next login (alternative way)
token_base64 = garmin.garth.dumps()
dir_path = os.path.expanduser(tokenstore_base64)
with open(dir_path, "w") as token_file:
token_file.write(token_base64)
print(
f"Oauth tokens encoded as base64 string and saved to '{dir_path}' file for future use. (second method)\n"
)
except (
FileNotFoundError,
GarthHTTPError,
GarminConnectAuthenticationError,
requests.exceptions.HTTPError,
) as err:
logger.error(err)
return None
return garmin
def get_mfa():
"""Get MFA."""
return input("MFA one-time code: ")
def format_timedelta(td):
minutes, seconds = divmod(td.seconds + td.days * 86400, 60)
hours, minutes = divmod(minutes, 60)
return "{:d}:{:02d}:{:02d}".format(hours, minutes, seconds)
def gear(api):
"""Calculate total time of use of a piece of gear by going through all activities where said gear has been used."""
# Skip requests if login failed
if api:
try:
display_json(
f"api.get_gear_stats({gearUUID})",
api.get_gear_stats(gearUUID),
)
activityList = api.get_gear_ativities(gearUUID)
if len(activityList) == 0:
print("No activities found for the given gear uuid.")
else:
print("Found " + str(len(activityList)) + " activities.")
D = 0
for a in activityList:
print(
"Activity: "
+ a["startTimeLocal"]
+ (" | " + a["activityName"] if a["activityName"] else "")
)
print(
" Duration: "
+ format_timedelta(datetime.timedelta(seconds=a["duration"]))
)
D += a["duration"]
print("")
print("Total Duration: " + format_timedelta(datetime.timedelta(seconds=D)))
print("")
print("Done!")
except (
GarminConnectConnectionError,
GarminConnectAuthenticationError,
GarminConnectTooManyRequestsError,
requests.exceptions.HTTPError,
GarthHTTPError,
) as err:
logger.error(err)
except KeyError:
# Invalid menu option chosen
pass
else:
print("Could not login to Garmin Connect, try again later.")
# Main program loop
# Display header and login
print("\n*** Garmin Connect API Demo by cyberjunky ***\n")
# Init API
if not api:
api = init_api(email, password)
if api:
gear(api)
else:
api = init_api(email, password)

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@@ -0,0 +1,511 @@
import time
from datetime import datetime
from io import BytesIO
from struct import pack, unpack
def _calcCRC(crc, byte):
table = [
0x0000,
0xCC01,
0xD801,
0x1400,
0xF001,
0x3C00,
0x2800,
0xE401,
0xA001,
0x6C00,
0x7800,
0xB401,
0x5000,
0x9C01,
0x8801,
0x4400,
]
# compute checksum of lower four bits of byte
tmp = table[crc & 0xF]
crc = (crc >> 4) & 0x0FFF
crc = crc ^ tmp ^ table[byte & 0xF]
# now compute checksum of upper four bits of byte
tmp = table[crc & 0xF]
crc = (crc >> 4) & 0x0FFF
crc = crc ^ tmp ^ table[(byte >> 4) & 0xF]
return crc
class FitBaseType(object):
"""BaseType Definition
see FIT Protocol Document(Page.20)"""
enum = {
"#": 0,
"endian": 0,
"field": 0x00,
"name": "enum",
"invalid": 0xFF,
"size": 1,
}
sint8 = {
"#": 1,
"endian": 0,
"field": 0x01,
"name": "sint8",
"invalid": 0x7F,
"size": 1,
}
uint8 = {
"#": 2,
"endian": 0,
"field": 0x02,
"name": "uint8",
"invalid": 0xFF,
"size": 1,
}
sint16 = {
"#": 3,
"endian": 1,
"field": 0x83,
"name": "sint16",
"invalid": 0x7FFF,
"size": 2,
}
uint16 = {
"#": 4,
"endian": 1,
"field": 0x84,
"name": "uint16",
"invalid": 0xFFFF,
"size": 2,
}
sint32 = {
"#": 5,
"endian": 1,
"field": 0x85,
"name": "sint32",
"invalid": 0x7FFFFFFF,
"size": 4,
}
uint32 = {
"#": 6,
"endian": 1,
"field": 0x86,
"name": "uint32",
"invalid": 0xFFFFFFFF,
"size": 4,
}
string = {
"#": 7,
"endian": 0,
"field": 0x07,
"name": "string",
"invalid": 0x00,
"size": 1,
}
float32 = {
"#": 8,
"endian": 1,
"field": 0x88,
"name": "float32",
"invalid": 0xFFFFFFFF,
"size": 2,
}
float64 = {
"#": 9,
"endian": 1,
"field": 0x89,
"name": "float64",
"invalid": 0xFFFFFFFFFFFFFFFF,
"size": 4,
}
uint8z = {
"#": 10,
"endian": 0,
"field": 0x0A,
"name": "uint8z",
"invalid": 0x00,
"size": 1,
}
uint16z = {
"#": 11,
"endian": 1,
"field": 0x8B,
"name": "uint16z",
"invalid": 0x0000,
"size": 2,
}
uint32z = {
"#": 12,
"endian": 1,
"field": 0x8C,
"name": "uint32z",
"invalid": 0x00000000,
"size": 4,
}
byte = {
"#": 13,
"endian": 0,
"field": 0x0D,
"name": "byte",
"invalid": 0xFF,
"size": 1,
} # array of byte, field is invalid if all bytes are invalid
@staticmethod
def get_format(basetype):
formats = {
0: "B",
1: "b",
2: "B",
3: "h",
4: "H",
5: "i",
6: "I",
7: "s",
8: "f",
9: "d",
10: "B",
11: "H",
12: "I",
13: "c",
}
return formats[basetype["#"]]
@staticmethod
def pack(basetype, value):
"""function to avoid DeprecationWarning"""
if basetype["#"] in (1, 2, 3, 4, 5, 6, 10, 11, 12):
value = int(value)
fmt = FitBaseType.get_format(basetype)
return pack(fmt, value)
class Fit(object):
HEADER_SIZE = 12
# not sure if this is the mesg_num
GMSG_NUMS = {
"file_id": 0,
"device_info": 23,
"weight_scale": 30,
"file_creator": 49,
"blood_pressure": 51,
}
class FitEncoder(Fit):
FILE_TYPE = 9
LMSG_TYPE_FILE_INFO = 0
LMSG_TYPE_FILE_CREATOR = 1
LMSG_TYPE_DEVICE_INFO = 2
def __init__(self):
self.buf = BytesIO()
self.write_header() # create header first
self.device_info_defined = False
def __str__(self):
orig_pos = self.buf.tell()
self.buf.seek(0)
lines = []
while True:
b = self.buf.read(16)
if not b:
break
lines.append(" ".join(["%02x" % ord(c) for c in b]))
self.buf.seek(orig_pos)
return "\n".join(lines)
def write_header(
self,
header_size=Fit.HEADER_SIZE,
protocol_version=16,
profile_version=108,
data_size=0,
data_type=b".FIT",
):
self.buf.seek(0)
s = pack(
"BBHI4s",
header_size,
protocol_version,
profile_version,
data_size,
data_type,
)
self.buf.write(s)
def _build_content_block(self, content):
field_defs = []
values = []
for num, basetype, value, scale in content:
s = pack("BBB", num, basetype["size"], basetype["field"])
field_defs.append(s)
if value is None:
# invalid value
value = basetype["invalid"]
elif scale is not None:
value *= scale
values.append(FitBaseType.pack(basetype, value))
return (b"".join(field_defs), b"".join(values))
def write_file_info(
self,
serial_number=None,
time_created=None,
manufacturer=None,
product=None,
number=None,
):
if time_created is None:
time_created = datetime.now()
content = [
(3, FitBaseType.uint32z, serial_number, None),
(4, FitBaseType.uint32, self.timestamp(time_created), None),
(1, FitBaseType.uint16, manufacturer, None),
(2, FitBaseType.uint16, product, None),
(5, FitBaseType.uint16, number, None),
(0, FitBaseType.enum, self.FILE_TYPE, None), # type
]
fields, values = self._build_content_block(content)
# create fixed content
msg_number = self.GMSG_NUMS["file_id"]
fixed_content = pack(
"BBHB", 0, 0, msg_number, len(content)
) # reserved, architecture(0: little endian)
self.buf.write(
b"".join(
[
# definition
self.record_header(
definition=True, lmsg_type=self.LMSG_TYPE_FILE_INFO
),
fixed_content,
fields,
# record
self.record_header(lmsg_type=self.LMSG_TYPE_FILE_INFO),
values,
]
)
)
def write_file_creator(self, software_version=None, hardware_version=None):
content = [
(0, FitBaseType.uint16, software_version, None),
(1, FitBaseType.uint8, hardware_version, None),
]
fields, values = self._build_content_block(content)
msg_number = self.GMSG_NUMS["file_creator"]
fixed_content = pack(
"BBHB", 0, 0, msg_number, len(content)
) # reserved, architecture(0: little endian)
self.buf.write(
b"".join(
[
# definition
self.record_header(
definition=True, lmsg_type=self.LMSG_TYPE_FILE_CREATOR
),
fixed_content,
fields,
# record
self.record_header(lmsg_type=self.LMSG_TYPE_FILE_CREATOR),
values,
]
)
)
def write_device_info(
self,
timestamp,
serial_number=None,
cum_operationg_time=None,
manufacturer=None,
product=None,
software_version=None,
battery_voltage=None,
device_index=None,
device_type=None,
hardware_version=None,
battery_status=None,
):
content = [
(253, FitBaseType.uint32, self.timestamp(timestamp), 1),
(3, FitBaseType.uint32z, serial_number, 1),
(7, FitBaseType.uint32, cum_operationg_time, 1),
(8, FitBaseType.uint32, None, None), # unknown field(undocumented)
(2, FitBaseType.uint16, manufacturer, 1),
(4, FitBaseType.uint16, product, 1),
(5, FitBaseType.uint16, software_version, 100),
(10, FitBaseType.uint16, battery_voltage, 256),
(0, FitBaseType.uint8, device_index, 1),
(1, FitBaseType.uint8, device_type, 1),
(6, FitBaseType.uint8, hardware_version, 1),
(11, FitBaseType.uint8, battery_status, None),
]
fields, values = self._build_content_block(content)
if not self.device_info_defined:
header = self.record_header(
definition=True, lmsg_type=self.LMSG_TYPE_DEVICE_INFO
)
msg_number = self.GMSG_NUMS["device_info"]
fixed_content = pack(
"BBHB", 0, 0, msg_number, len(content)
) # reserved, architecture(0: little endian)
self.buf.write(header + fixed_content + fields)
self.device_info_defined = True
header = self.record_header(lmsg_type=self.LMSG_TYPE_DEVICE_INFO)
self.buf.write(header + values)
def record_header(self, definition=False, lmsg_type=0):
msg = 0
if definition:
msg = 1 << 6 # 6th bit is a definition message
return pack("B", msg + lmsg_type)
def crc(self):
orig_pos = self.buf.tell()
self.buf.seek(0)
crc = 0
while True:
b = self.buf.read(1)
if not b:
break
crc = _calcCRC(crc, unpack("b", b)[0])
self.buf.seek(orig_pos)
return pack("H", crc)
def finish(self):
"""re-weite file-header, then append crc to end of file"""
data_size = self.get_size() - self.HEADER_SIZE
self.write_header(data_size=data_size)
crc = self.crc()
self.buf.seek(0, 2)
self.buf.write(crc)
def get_size(self):
orig_pos = self.buf.tell()
self.buf.seek(0, 2)
size = self.buf.tell()
self.buf.seek(orig_pos)
return size
def getvalue(self):
return self.buf.getvalue()
def timestamp(self, t):
"""the timestamp in fit protocol is seconds since
UTC 00:00 Dec 31 1989 (631065600)"""
if isinstance(t, datetime):
t = time.mktime(t.timetuple())
return t - 631065600
class FitEncoderBloodPressure(FitEncoder):
# Here might be dragons - no idea what lsmg stand for, found 14 somewhere in the deepest web
LMSG_TYPE_BLOOD_PRESSURE = 14
def __init__(self):
super().__init__()
self.blood_pressure_monitor_defined = False
def write_blood_pressure(
self,
timestamp,
diastolic_blood_pressure=None,
systolic_blood_pressure=None,
mean_arterial_pressure=None,
map_3_sample_mean=None,
map_morning_values=None,
map_evening_values=None,
heart_rate=None,
):
# BLOOD PRESSURE FILE MESSAGES
content = [
(253, FitBaseType.uint32, self.timestamp(timestamp), 1),
(0, FitBaseType.uint16, systolic_blood_pressure, 1),
(1, FitBaseType.uint16, diastolic_blood_pressure, 1),
(2, FitBaseType.uint16, mean_arterial_pressure, 1),
(3, FitBaseType.uint16, map_3_sample_mean, 1),
(4, FitBaseType.uint16, map_morning_values, 1),
(5, FitBaseType.uint16, map_evening_values, 1),
(6, FitBaseType.uint8, heart_rate, 1),
]
fields, values = self._build_content_block(content)
if not self.blood_pressure_monitor_defined:
header = self.record_header(
definition=True, lmsg_type=self.LMSG_TYPE_BLOOD_PRESSURE
)
msg_number = self.GMSG_NUMS["blood_pressure"]
fixed_content = pack(
"BBHB", 0, 0, msg_number, len(content)
) # reserved, architecture(0: little endian)
self.buf.write(header + fixed_content + fields)
self.blood_pressure_monitor_defined = True
header = self.record_header(lmsg_type=self.LMSG_TYPE_BLOOD_PRESSURE)
self.buf.write(header + values)
class FitEncoderWeight(FitEncoder):
LMSG_TYPE_WEIGHT_SCALE = 3
def __init__(self):
super().__init__()
self.weight_scale_defined = False
def write_weight_scale(
self,
timestamp,
weight,
percent_fat=None,
percent_hydration=None,
visceral_fat_mass=None,
bone_mass=None,
muscle_mass=None,
basal_met=None,
active_met=None,
physique_rating=None,
metabolic_age=None,
visceral_fat_rating=None,
bmi=None,
):
content = [
(253, FitBaseType.uint32, self.timestamp(timestamp), 1),
(0, FitBaseType.uint16, weight, 100),
(1, FitBaseType.uint16, percent_fat, 100),
(2, FitBaseType.uint16, percent_hydration, 100),
(3, FitBaseType.uint16, visceral_fat_mass, 100),
(4, FitBaseType.uint16, bone_mass, 100),
(5, FitBaseType.uint16, muscle_mass, 100),
(7, FitBaseType.uint16, basal_met, 4),
(9, FitBaseType.uint16, active_met, 4),
(8, FitBaseType.uint8, physique_rating, 1),
(10, FitBaseType.uint8, metabolic_age, 1),
(11, FitBaseType.uint8, visceral_fat_rating, 1),
(13, FitBaseType.uint16, bmi, 10),
]
fields, values = self._build_content_block(content)
if not self.weight_scale_defined:
header = self.record_header(
definition=True, lmsg_type=self.LMSG_TYPE_WEIGHT_SCALE
)
msg_number = self.GMSG_NUMS["weight_scale"]
fixed_content = pack(
"BBHB", 0, 0, msg_number, len(content)
) # reserved, architecture(0: little endian)
self.buf.write(header + fixed_content + fields)
self.weight_scale_defined = True
header = self.record_header(lmsg_type=self.LMSG_TYPE_WEIGHT_SCALE)
self.buf.write(header + values)

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[project]
name = "garminconnect"
version = "0.2.28"
description = "Python 3 API wrapper for Garmin Connect"
authors = [
{name = "Ron Klinkien", email = "ron@cyberjunky.nl"},
]
dependencies = [
"garth>=0.5.13,<0.6.0",
]
readme = "README.md"
license = {text = "MIT"}
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
]
keywords=["garmin connect", "api", "garmin"]
requires-python=">=3.10"
[project.urls]
"Homepage" = "https://github.com/cyberjunky/python-garminconnect"
"Bug Tracker" = "https://github.com/cyberjunky/python-garminconnect/issues"
[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"
[tool.pytest.ini_options]
addopts = "--ignore=__pypackages__ --ignore-glob=*.yaml"
[tool.mypy]
ignore_missing_imports = true
[tool.isort]
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
line_length = 79
known_first_party = "garminconnect"
[project.optional-dependencies]
dev = [
"ipython",
"ipdb",
"ipykernel",
"pandas",
"matplotlib",
]
linting = [
"black",
"ruff",
"mypy",
"isort",
"types-requests",
]
testing = [
"coverage",
"pytest",
"pytest-vcr",
]
example = [
"readchar",
]
[tool.pdm]
distribution = true
[tool.pdm.dev-dependencies]
dev = [
"ipython",
"ipdb",
"ipykernel",
"pandas",
"matplotlib",
]
linting = [
"black",
"ruff",
"mypy",
"isort",
"types-requests",
]
testing = [
"coverage",
"pytest",
"pytest-vcr",
]
example = [
"readchar",
]

View File

@@ -0,0 +1,529 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Garth Migration"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import garminconnect"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Login"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Request email and password. If MFA is enabled, Garth will request it."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'mtamizi'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from getpass import getpass\n",
"\n",
"email = input(\"Enter email address: \")\n",
"password = getpass(\"Enter password: \")\n",
"\n",
"garmin = garminconnect.Garmin(email, password)\n",
"garmin.login()\n",
"\n",
"garmin.display_name"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Save session"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"GARTH_HOME = os.getenv(\"GARTH_HOME\", \"~/.garth\")\n",
"garmin.garth.dump(GARTH_HOME)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get Connect stats"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2023-09-19'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from datetime import date, timedelta\n",
"\n",
"yesterday = date.today() - timedelta(days=1)\n",
"yesterday = yesterday.isoformat()\n",
"yesterday"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfileId', 'totalKilocalories', 'activeKilocalories', 'bmrKilocalories', 'wellnessKilocalories', 'burnedKilocalories', 'consumedKilocalories', 'remainingKilocalories', 'totalSteps', 'netCalorieGoal', 'totalDistanceMeters', 'wellnessDistanceMeters', 'wellnessActiveKilocalories', 'netRemainingKilocalories', 'userDailySummaryId', 'calendarDate', 'rule', 'uuid', 'dailyStepGoal', 'totalPushDistance', 'totalPushes', 'wellnessStartTimeGmt', 'wellnessStartTimeLocal', 'wellnessEndTimeGmt', 'wellnessEndTimeLocal', 'durationInMilliseconds', 'wellnessDescription', 'highlyActiveSeconds', 'activeSeconds', 'sedentarySeconds', 'sleepingSeconds', 'includesWellnessData', 'includesActivityData', 'includesCalorieConsumedData', 'privacyProtected', 'moderateIntensityMinutes', 'vigorousIntensityMinutes', 'floorsAscendedInMeters', 'floorsDescendedInMeters', 'floorsAscended', 'floorsDescended', 'intensityMinutesGoal', 'userFloorsAscendedGoal', 'minHeartRate', 'maxHeartRate', 'restingHeartRate', 'lastSevenDaysAvgRestingHeartRate', 'source', 'averageStressLevel', 'maxStressLevel', 'stressDuration', 'restStressDuration', 'activityStressDuration', 'uncategorizedStressDuration', 'totalStressDuration', 'lowStressDuration', 'mediumStressDuration', 'highStressDuration', 'stressPercentage', 'restStressPercentage', 'activityStressPercentage', 'uncategorizedStressPercentage', 'lowStressPercentage', 'mediumStressPercentage', 'highStressPercentage', 'stressQualifier', 'measurableAwakeDuration', 'measurableAsleepDuration', 'lastSyncTimestampGMT', 'minAvgHeartRate', 'maxAvgHeartRate', 'bodyBatteryChargedValue', 'bodyBatteryDrainedValue', 'bodyBatteryHighestValue', 'bodyBatteryLowestValue', 'bodyBatteryMostRecentValue', 'bodyBatteryVersion', 'abnormalHeartRateAlertsCount', 'averageSpo2', 'lowestSpo2', 'latestSpo2', 'latestSpo2ReadingTimeGmt', 'latestSpo2ReadingTimeLocal', 'averageMonitoringEnvironmentAltitude', 'restingCaloriesFromActivity', 'avgWakingRespirationValue', 'highestRespirationValue', 'lowestRespirationValue', 'latestRespirationValue', 'latestRespirationTimeGMT'])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_stats(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfileId', 'totalKilocalories', 'activeKilocalories', 'bmrKilocalories', 'wellnessKilocalories', 'burnedKilocalories', 'consumedKilocalories', 'remainingKilocalories', 'totalSteps', 'netCalorieGoal', 'totalDistanceMeters', 'wellnessDistanceMeters', 'wellnessActiveKilocalories', 'netRemainingKilocalories', 'userDailySummaryId', 'calendarDate', 'rule', 'uuid', 'dailyStepGoal', 'totalPushDistance', 'totalPushes', 'wellnessStartTimeGmt', 'wellnessStartTimeLocal', 'wellnessEndTimeGmt', 'wellnessEndTimeLocal', 'durationInMilliseconds', 'wellnessDescription', 'highlyActiveSeconds', 'activeSeconds', 'sedentarySeconds', 'sleepingSeconds', 'includesWellnessData', 'includesActivityData', 'includesCalorieConsumedData', 'privacyProtected', 'moderateIntensityMinutes', 'vigorousIntensityMinutes', 'floorsAscendedInMeters', 'floorsDescendedInMeters', 'floorsAscended', 'floorsDescended', 'intensityMinutesGoal', 'userFloorsAscendedGoal', 'minHeartRate', 'maxHeartRate', 'restingHeartRate', 'lastSevenDaysAvgRestingHeartRate', 'source', 'averageStressLevel', 'maxStressLevel', 'stressDuration', 'restStressDuration', 'activityStressDuration', 'uncategorizedStressDuration', 'totalStressDuration', 'lowStressDuration', 'mediumStressDuration', 'highStressDuration', 'stressPercentage', 'restStressPercentage', 'activityStressPercentage', 'uncategorizedStressPercentage', 'lowStressPercentage', 'mediumStressPercentage', 'highStressPercentage', 'stressQualifier', 'measurableAwakeDuration', 'measurableAsleepDuration', 'lastSyncTimestampGMT', 'minAvgHeartRate', 'maxAvgHeartRate', 'bodyBatteryChargedValue', 'bodyBatteryDrainedValue', 'bodyBatteryHighestValue', 'bodyBatteryLowestValue', 'bodyBatteryMostRecentValue', 'bodyBatteryVersion', 'abnormalHeartRateAlertsCount', 'averageSpo2', 'lowestSpo2', 'latestSpo2', 'latestSpo2ReadingTimeGmt', 'latestSpo2ReadingTimeLocal', 'averageMonitoringEnvironmentAltitude', 'restingCaloriesFromActivity', 'avgWakingRespirationValue', 'highestRespirationValue', 'lowestRespirationValue', 'latestRespirationValue', 'latestRespirationTimeGMT'])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_user_summary(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'startGMT': '2023-08-05T06:00:00.0',\n",
" 'endGMT': '2023-08-05T06:15:00.0',\n",
" 'steps': 0,\n",
" 'pushes': 0,\n",
" 'primaryActivityLevel': 'sedentary',\n",
" 'activityLevelConstant': True},\n",
" {'startGMT': '2023-08-05T06:15:00.0',\n",
" 'endGMT': '2023-08-05T06:30:00.0',\n",
" 'steps': 0,\n",
" 'pushes': 0,\n",
" 'primaryActivityLevel': 'sleeping',\n",
" 'activityLevelConstant': False}]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_steps_data(yesterday)[:2]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['startTimestampGMT', 'endTimestampGMT', 'startTimestampLocal', 'endTimestampLocal', 'floorsValueDescriptorDTOList', 'floorValuesArray'])"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_floors(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'calendarDate': '2023-08-05',\n",
" 'totalSteps': 17945,\n",
" 'totalDistance': 14352,\n",
" 'stepGoal': 8560}]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_daily_steps(yesterday, yesterday)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfilePK', 'calendarDate', 'startTimestampGMT', 'endTimestampGMT', 'startTimestampLocal', 'endTimestampLocal', 'maxHeartRate', 'minHeartRate', 'restingHeartRate', 'lastSevenDaysAvgRestingHeartRate', 'heartRateValueDescriptors', 'heartRateValues'])"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_heart_rates(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfileId', 'totalKilocalories', 'activeKilocalories', 'bmrKilocalories', 'wellnessKilocalories', 'burnedKilocalories', 'consumedKilocalories', 'remainingKilocalories', 'totalSteps', 'netCalorieGoal', 'totalDistanceMeters', 'wellnessDistanceMeters', 'wellnessActiveKilocalories', 'netRemainingKilocalories', 'userDailySummaryId', 'calendarDate', 'rule', 'uuid', 'dailyStepGoal', 'totalPushDistance', 'totalPushes', 'wellnessStartTimeGmt', 'wellnessStartTimeLocal', 'wellnessEndTimeGmt', 'wellnessEndTimeLocal', 'durationInMilliseconds', 'wellnessDescription', 'highlyActiveSeconds', 'activeSeconds', 'sedentarySeconds', 'sleepingSeconds', 'includesWellnessData', 'includesActivityData', 'includesCalorieConsumedData', 'privacyProtected', 'moderateIntensityMinutes', 'vigorousIntensityMinutes', 'floorsAscendedInMeters', 'floorsDescendedInMeters', 'floorsAscended', 'floorsDescended', 'intensityMinutesGoal', 'userFloorsAscendedGoal', 'minHeartRate', 'maxHeartRate', 'restingHeartRate', 'lastSevenDaysAvgRestingHeartRate', 'source', 'averageStressLevel', 'maxStressLevel', 'stressDuration', 'restStressDuration', 'activityStressDuration', 'uncategorizedStressDuration', 'totalStressDuration', 'lowStressDuration', 'mediumStressDuration', 'highStressDuration', 'stressPercentage', 'restStressPercentage', 'activityStressPercentage', 'uncategorizedStressPercentage', 'lowStressPercentage', 'mediumStressPercentage', 'highStressPercentage', 'stressQualifier', 'measurableAwakeDuration', 'measurableAsleepDuration', 'lastSyncTimestampGMT', 'minAvgHeartRate', 'maxAvgHeartRate', 'bodyBatteryChargedValue', 'bodyBatteryDrainedValue', 'bodyBatteryHighestValue', 'bodyBatteryLowestValue', 'bodyBatteryMostRecentValue', 'bodyBatteryVersion', 'abnormalHeartRateAlertsCount', 'averageSpo2', 'lowestSpo2', 'latestSpo2', 'latestSpo2ReadingTimeGmt', 'latestSpo2ReadingTimeLocal', 'averageMonitoringEnvironmentAltitude', 'restingCaloriesFromActivity', 'avgWakingRespirationValue', 'highestRespirationValue', 'lowestRespirationValue', 'latestRespirationValue', 'latestRespirationTimeGMT', 'from', 'until', 'weight', 'bmi', 'bodyFat', 'bodyWater', 'boneMass', 'muscleMass', 'physiqueRating', 'visceralFat', 'metabolicAge'])"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_stats_and_body(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'startDate': '2023-08-05',\n",
" 'endDate': '2023-08-05',\n",
" 'dateWeightList': [],\n",
" 'totalAverage': {'from': 1691193600000,\n",
" 'until': 1691279999999,\n",
" 'weight': None,\n",
" 'bmi': None,\n",
" 'bodyFat': None,\n",
" 'bodyWater': None,\n",
" 'boneMass': None,\n",
" 'muscleMass': None,\n",
" 'physiqueRating': None,\n",
" 'visceralFat': None,\n",
" 'metabolicAge': None}}"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_body_composition(yesterday)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['date', 'charged', 'drained', 'startTimestampGMT', 'endTimestampGMT', 'startTimestampLocal', 'endTimestampLocal', 'bodyBatteryValuesArray', 'bodyBatteryValueDescriptorDTOList'])"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_body_battery(yesterday)[0].keys()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'from': '2023-08-05',\n",
" 'until': '2023-08-05',\n",
" 'measurementSummaries': [],\n",
" 'categoryStats': None}"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_blood_pressure(yesterday)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_max_metrics(yesterday)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'userId': 2591602,\n",
" 'calendarDate': '2023-08-05',\n",
" 'valueInML': 0.0,\n",
" 'goalInML': 3437.0,\n",
" 'dailyAverageinML': None,\n",
" 'lastEntryTimestampLocal': '2023-08-05T12:25:27.0',\n",
" 'sweatLossInML': 637.0,\n",
" 'activityIntakeInML': 0.0}"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_hydration_data(yesterday)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfilePK', 'calendarDate', 'startTimestampGMT', 'endTimestampGMT', 'startTimestampLocal', 'endTimestampLocal', 'sleepStartTimestampGMT', 'sleepEndTimestampGMT', 'sleepStartTimestampLocal', 'sleepEndTimestampLocal', 'tomorrowSleepStartTimestampGMT', 'tomorrowSleepEndTimestampGMT', 'tomorrowSleepStartTimestampLocal', 'tomorrowSleepEndTimestampLocal', 'lowestRespirationValue', 'highestRespirationValue', 'avgWakingRespirationValue', 'avgSleepRespirationValue', 'avgTomorrowSleepRespirationValue', 'respirationValueDescriptorsDTOList', 'respirationValuesArray'])"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_respiration_data(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['userProfilePK', 'calendarDate', 'startTimestampGMT', 'endTimestampGMT', 'startTimestampLocal', 'endTimestampLocal', 'sleepStartTimestampGMT', 'sleepEndTimestampGMT', 'sleepStartTimestampLocal', 'sleepEndTimestampLocal', 'tomorrowSleepStartTimestampGMT', 'tomorrowSleepEndTimestampGMT', 'tomorrowSleepStartTimestampLocal', 'tomorrowSleepEndTimestampLocal', 'averageSpO2', 'lowestSpO2', 'lastSevenDaysAvgSpO2', 'latestSpO2', 'latestSpO2TimestampGMT', 'latestSpO2TimestampLocal', 'avgSleepSpO2', 'avgTomorrowSleepSpO2', 'spO2ValueDescriptorsDTOList', 'spO2SingleValues', 'continuousReadingDTOList', 'spO2HourlyAverages'])"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_spo2_data(yesterday).keys()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'id': 1944943000,\n",
" 'typeId': 16,\n",
" 'activityId': 0,\n",
" 'activityName': None,\n",
" 'activityStartDateTimeInGMT': None,\n",
" 'actStartDateTimeInGMTFormatted': None,\n",
" 'activityStartDateTimeLocal': None,\n",
" 'activityStartDateTimeLocalFormatted': None,\n",
" 'value': 2.0,\n",
" 'prStartTimeGmt': 1691215200000,\n",
" 'prStartTimeGmtFormatted': '2023-08-05T06:00:00.0',\n",
" 'prStartTimeLocal': 1691193600000,\n",
" 'prStartTimeLocalFormatted': '2023-08-05T00:00:00.0',\n",
" 'prTypeLabelKey': None,\n",
" 'poolLengthUnit': None},\n",
" {'id': 2184086093,\n",
" 'typeId': 3,\n",
" 'activityId': 10161959373,\n",
" 'activityName': 'Cuauhtémoc - Threshold',\n",
" 'activityStartDateTimeInGMT': 1671549377000,\n",
" 'actStartDateTimeInGMTFormatted': '2022-12-20T15:16:17.0',\n",
" 'activityStartDateTimeLocal': 1671527777000,\n",
" 'activityStartDateTimeLocalFormatted': '2022-12-20T09:16:17.0',\n",
" 'value': 1413.6650390625,\n",
" 'prStartTimeGmt': 1671549990000,\n",
" 'prStartTimeGmtFormatted': '2022-12-20T15:26:30.0',\n",
" 'prStartTimeLocal': None,\n",
" 'prStartTimeLocalFormatted': None,\n",
" 'prTypeLabelKey': None,\n",
" 'poolLengthUnit': None}]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_personal_record()[:2]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[1695103200000, 'MEASURED', 42, 2.0],\n",
" [1695103380000, 'MEASURED', 42, 2.0],\n",
" [1695103560000, 'MEASURED', 42, 2.0],\n",
" [1695103740000, 'MEASURED', 43, 2.0],\n",
" [1695103920000, 'MEASURED', 43, 2.0],\n",
" [1695104100000, 'MEASURED', 43, 2.0],\n",
" [1695104280000, 'MEASURED', 43, 2.0],\n",
" [1695104460000, 'MEASURED', 44, 2.0],\n",
" [1695104640000, 'MEASURED', 44, 2.0],\n",
" [1695104820000, 'MEASURED', 44, 2.0]]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"garmin.get_all_day_stress(yesterday)['bodyBatteryValuesArray'][:10]"
]
}
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garth==0.5.17
readchar
requests
mypy
pdm
twine
pre-commit
isort
ruff
black

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pytest
pytest-vcr
pytest-cov
coverage

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import json
import os
import re
import pytest
@pytest.fixture
def vcr(vcr):
assert "GARMINTOKENS" in os.environ
return vcr
def sanitize_cookie(cookie_value) -> str:
return re.sub(r"=[^;]*", "=SANITIZED", cookie_value)
def sanitize_request(request):
if request.body:
try:
body = request.body.decode("utf8")
except UnicodeDecodeError:
...
else:
for key in ["username", "password", "refresh_token"]:
body = re.sub(key + r"=[^&]*", f"{key}=SANITIZED", body)
request.body = body.encode("utf8")
if "Cookie" in request.headers:
cookies = request.headers["Cookie"].split("; ")
sanitized_cookies = [sanitize_cookie(cookie) for cookie in cookies]
request.headers["Cookie"] = "; ".join(sanitized_cookies)
return request
def sanitize_response(response):
for key in ["set-cookie", "Set-Cookie"]:
if key in response["headers"]:
cookies = response["headers"][key]
sanitized_cookies = [sanitize_cookie(cookie) for cookie in cookies]
response["headers"][key] = sanitized_cookies
body = response["body"]["string"].decode("utf8")
patterns = [
"oauth_token=[^&]*",
"oauth_token_secret=[^&]*",
"mfa_token=[^&]*",
]
for pattern in patterns:
body = re.sub(pattern, pattern.split("=")[0] + "=SANITIZED", body)
try:
body_json = json.loads(body)
except json.JSONDecodeError:
pass
else:
for field in [
"access_token",
"refresh_token",
"jti",
"consumer_key",
"consumer_secret",
]:
if field in body_json:
body_json[field] = "SANITIZED"
body = json.dumps(body_json)
response["body"]["string"] = body.encode("utf8")
return response
@pytest.fixture(scope="session")
def vcr_config():
return {
"filter_headers": [("Authorization", "Bearer SANITIZED")],
"before_record_request": sanitize_request,
"before_record_response": sanitize_response,
}

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import pytest
import garminconnect
DATE = "2023-07-01"
@pytest.fixture(scope="session")
def garmin():
return garminconnect.Garmin("email", "password")
@pytest.mark.vcr
def test_stats(garmin):
garmin.login()
stats = garmin.get_stats(DATE)
assert "totalKilocalories" in stats
assert "activeKilocalories" in stats
@pytest.mark.vcr
def test_user_summary(garmin):
garmin.login()
user_summary = garmin.get_user_summary(DATE)
assert "totalKilocalories" in user_summary
assert "activeKilocalories" in user_summary
@pytest.mark.vcr
def test_steps_data(garmin):
garmin.login()
steps_data = garmin.get_steps_data(DATE)[0]
assert "steps" in steps_data
@pytest.mark.vcr
def test_floors(garmin):
garmin.login()
floors_data = garmin.get_floors(DATE)
assert "floorValuesArray" in floors_data
@pytest.mark.vcr
def test_daily_steps(garmin):
garmin.login()
daily_steps = garmin.get_daily_steps(DATE, DATE)[0]
assert "calendarDate" in daily_steps
assert "totalSteps" in daily_steps
assert "stepGoal" in daily_steps
@pytest.mark.vcr
def test_heart_rates(garmin):
garmin.login()
heart_rates = garmin.get_heart_rates(DATE)
assert "calendarDate" in heart_rates
assert "restingHeartRate" in heart_rates
@pytest.mark.vcr
def test_stats_and_body(garmin):
garmin.login()
stats_and_body = garmin.get_stats_and_body(DATE)
assert "calendarDate" in stats_and_body
assert "metabolicAge" in stats_and_body
@pytest.mark.vcr
def test_body_composition(garmin):
garmin.login()
body_composition = garmin.get_body_composition(DATE)
assert "totalAverage" in body_composition
assert "metabolicAge" in body_composition["totalAverage"]
@pytest.mark.vcr
def test_body_battery(garmin):
garmin.login()
body_battery = garmin.get_body_battery(DATE)[0]
assert "date" in body_battery
assert "charged" in body_battery
@pytest.mark.vcr
def test_hydration_data(garmin):
garmin.login()
hydration_data = garmin.get_hydration_data(DATE)
assert hydration_data
assert "calendarDate" in hydration_data
@pytest.mark.vcr
def test_respiration_data(garmin):
garmin.login()
respiration_data = garmin.get_respiration_data(DATE)
assert "calendarDate" in respiration_data
assert "avgSleepRespirationValue" in respiration_data
@pytest.mark.vcr
def test_spo2_data(garmin):
garmin.login()
spo2_data = garmin.get_spo2_data(DATE)
assert "calendarDate" in spo2_data
assert "averageSpO2" in spo2_data
@pytest.mark.vcr
def test_hrv_data(garmin):
garmin.login()
hrv_data = garmin.get_hrv_data(DATE)
assert "hrvSummary" in hrv_data
assert "weeklyAvg" in hrv_data["hrvSummary"]
@pytest.mark.vcr
def test_download_activity(garmin):
garmin.login()
activity_id = "11998957007"
activity = garmin.download_activity(activity_id)
assert activity
@pytest.mark.vcr
def test_all_day_stress(garmin):
garmin.login()
all_day_stress = garmin.get_all_day_stress(DATE)
assert "bodyBatteryValuesArray" in all_day_stress
assert "calendarDate" in all_day_stress
@pytest.mark.vcr
def test_upload(garmin):
garmin.login()
fpath = "tests/12129115726_ACTIVITY.fit"
assert garmin.upload_activity(fpath)
@pytest.mark.vcr
def test_request_reload(garmin):
garmin.login()
cdate = "2021-01-01"
assert sum(steps["steps"] for steps in garmin.get_steps_data(cdate)) == 0
assert garmin.request_reload(cdate)
# In practice, the data can take a while to load
assert sum(steps["steps"] for steps in garmin.get_steps_data(cdate)) > 0