Damoov-Admin Python SDK for Telematics API and Services

Damoov is a leading telematics platform leveraging smartphone capabilities to capture and analyze driving behaviors. Our Python SDK is designed to enable developers to easily integrate and harness the power of Damoov's robust telematics data.

Changelog

version 0.9.5 Release data 18.07.2024

• General improvements
• Authentication improvements

version 0.9.4 Release data 17.06.2024

• Users: New method "change_user_instance" added

version 0.9.3 Release data 11.06.2024

• Accounts: fixed issue with base url

version 0.9.2 Release data ____

• New response type for Accounts: errors - return a message of the error
• New response type for Users: accesstoken - to get JWT token
• New response type for Users: refreshtoken - to get refresh token

version 0.9.1 Release date December 28, 2023

• New method: get_user_details
• General improvements

version 0.9.0 Release date December 14, 2023

• Auth improvements.
• Iterable objects

version 0.8.0 Release date November 27, 2023

• New module available: accounts. the module includes methods to manage applications and instances

version 0.7.7 Release date 13/11/2023:

• New module available: engagement. the module includes leaderboards: general leaderboard and user leaderboard
• Authentication improvements: now, the SDK supports multiple credentials simultaneously.
• Response improvements: default response for empty or no data users.

version 0.7.6 Release date 01/11/2023:

• bug fix

version 0.7.5 Release date 25/10/2023:

• bug fix

version 0.7.4 Release date 20/10/2023:

Security Enhancements: JWT Token Storage:

• Improved Security: Moved JWT token storage from a local file to secure place, providing an added layer of security.
• Robust Token Handling: Enhanced the methods for saving and loading tokens.

Other Updates:

• Error Handling: Improved HTTP error handling across all API calls, ensuring smoother recovery and clear notifications on issues.
• Code Optimization: Refactored and optimized various parts of the codebase for clarity and performance.

---

Installation

Install the SDK using pip:

pip install damoov-admin

Features

• Authentication: Seamlessly authenticate and manage sessions.
• Telematics Data Retrieval: Fetch driving statistics, safety patterns, performance metrics, and more.
• Error Handling: Handle errors effectively with descriptive messages.
• Utility Functions: Set of helper functions for date and time management.

Quick Start

Full Documentation

1. Authentication:

    from damoov_admin import statistics, trips, users
    email = "" 
    password = ''
   
    #Generate your admin credential in Datahub (https://docs.damoov.com/docs/datahub)
   
    data = <module>.DamoovAuth(email=email, password=password)

Documentation

Detailed documentation is available at Developer Portal.

Feedback and Support

If you have any feedback or need support, please contact us at [email protected].

License

This SDK is distributed under the MIT License.

python-admin-sdk

Damoov's Python SDK enables seamless integration with our leading telematics platform. Harness the power of smartphones to capture and analyze driving behaviors. This repo provides tools to easily tap into driving insights, safety metrics, and performance data. Drive smarter with Damoov.

Modules

Statistics

---

The Statistics module provides a comprehensive suite of functionalities to gather various statistics data, ranging from daily user scores to unique tags. Below is a breakdown of its methods and their usage:

1. Get started

If you haven't already, install the Damoov-Admin SDK for Python.

pip install damoov-admin

Begin by importing the Statistics module and finalizing the authentication process.

from damoov_admin import statistics
email="[email protected]"
password="YOUR PASSWORD"

stats = statistics.DamoovAuth(email=email, password=password)

2. Methods

Syntaxes:

• user_id: ID of the user, also known as a DeviceToken
• start_date: Start date in format YYYY-MM-DDTHH:MM:SS
• end_date: End date in format YYYY-MM-DDTHH:MM:SS
• tag : ['Tag1', '...', 'TagX']

---

user_daily_statistics

Obtain daily statistics of a user.

Parameters:

• user_id: ID of the user
• start_date: Start date in format YYYY-MM-DDTHH:MM:SS
• end_date: End date in format YYYY-MM-DDTHH:MM:SS
• tag (optional): Tag to filter

Example:

Request:

user_statistics=stats.user_daily_statistics(
        user_id='2948a036-36f8-4f76-babd-0635874aa3er',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
  			tag=['Business', 'Personal']
        )

Response:

{"Result": [
{
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "ReportDate": "2023-09-02T00:00:00",
            "MileageKm": 200.7945138572461,
            "MileageMile": 124.77371091089272,
            "TripsCount": 8,
            "DriverTripsCount": 8,
            "OtherTripsCount": 0,
            "MaxSpeedKmh": 122.29244232177734,
            "MaxSpeedMileh": 75.99252365875243,
            "AverageSpeedKmh": 54.68438828527036,
            "AverageSpeedMileh": 33.980878880466996,
            "TotalSpeedingKm": 12.483415754279346,
            "TotalSpeedingMile": 7.757194549709185,
            "AccelerationsCount": 4,
            "BrakingsCount": 5,
            "CorneringsCount": 4,
            "PhoneUsageDurationMin": 3.5368999999999997,
            "PhoneUsageMileageKm": 2.2573077536862733,
            "PhoneUsageMileageMile": 1.40269103814065,
            "PhoneUsageSpeedingDurationMin": 0.0,
            "PhoneUsageSpeedingMileageKm": 0.0,
            "PhoneUsageSpeedingMileageMile": 0.0,
            "DrivingTime": 186.96666666666667,
            "NightDrivingTime": 0.0,
            "DayDrivingTime": 45.993165254592896,
            "RushHoursDrivingTime": 140.0721311569214,
            "PermissionsLevel": 92,
            "TrustLevel": 92.0
        },
  ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

user_daily_ecoscore

Retrieve a user's daily ecoscore.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date

Example:

Request:

user_statistics=stats.user_daily_ecoscore(
        user_id='2948a036-36f8-4f76-babd-0635874aa3er',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        )

Response:

"Result": [
         {
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "CalcDate": "2023-10-02T00:00:00",
            "EcoScoreFuel": 97.80603418529739,
            "EcoScoreTyres": 100.0,
            "EcoScoreBrakes": 71.24604879817583,
            "EcoScoreDepreciation": 30.066967347066047,
            "EcoScore": 75.74524464826901,
            "PermissionsLevel": 100,
            "TrustLevel": 100.0
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

user_daily_safetyscore

Get a user's daily safety score.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter

Example:

Request:

    user_statistics=stats.user_daily_safetyscore(
        user_id='2948a036-36f8-4f76-babd-0635874aa3er',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        )

Response:

"Result": [     
  {
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "AccelerationScore": 78.0,
            "BrakingScore": 80.0,
            "SpeedingScore": 72.0,
            "PhoneUsageScore": 86.0,
            "CorneringScore": 79.0,
            "SafetyScore": 90.0,
            "CalcDate": "2023-10-02T00:00:00",
            "PermissionsLevel": 100,
            "TrustLevel": 100.0
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

user_accumulated_statistics

Fetch accumulated statistics for a user.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter

Example:

Request:

    user_statistics=stats.user_accumulated_statistics(
        user_id='2948a036-36f8-4f76-babd-0635874aa3er',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        )

Response:

    "Result": [
        {
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "MileageKm": 2111.0221881212033,
            "MileageMile": 1311.789187698516,
            "TripsCount": 153,
            "DriverTripsCount": 153,
            "OtherTripsCount": 0,
            "MaxSpeedKmh": 122.29244232177734,
            "MaxSpeedMileh": 75.99252365875243,
            "AverageSpeedKmh": 43.86747108399977,
            "AverageSpeedMileh": 27.25924653159745,
            "TotalSpeedingKm": 144.23474761841058,
            "TotalSpeedingMile": 89.6274721700803,
            "AccelerationsCount": 94,
            "BrakingsCount": 78,
            "CorneringsCount": 45,
            "PhoneUsageDurationMin": 20.447583333333334,
            "PhoneUsageMileageKm": 17.025709577441788,
            "PhoneUsageMileageMile": 10.579775931422326,
            "PhoneUsageSpeedingDurationMin": 0.2427833333333333,
            "PhoneUsageSpeedingMileageKm": 0.32201192397028167,
            "PhoneUsageSpeedingMileageMile": 0.20009820955513297,
            "DrivingTime": 3301.6166666666663,
            "NightDrivingTime": 0.0,
            "DayDrivingTime": 1807.0491929650307,
            "RushHoursDrivingTime": 1490.29370367527,
            "PermissionsLevel": 93,
            "TrustLevel": 93.0
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

user_accumulated_ecoscore

Acquire a user's accumulated ecoscore over a range.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date

Example:

Request:

    user_statistics.user_accumulated_ecoscore(
        user_id='2948a036-36f8-4f46-babd-0635870aa7ed',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00'
        )

Response:

"Result": [
        {
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "EcoScoreFuel": 97.21532847773788,
            "EcoScoreTyres": 100.0,
            "EcoScoreBrakes": 83.25091485161596,
            "EcoScoreDepreciation": 26.5303907938692,
            "EcoScore": 75.00759345586548,
            "PermissionsLevel": 93,
            "TrustLevel": 93.0
        }
      ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

user_accumulated_safetyscore

Obtain a user's accumulated safety score.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter

Example:

Request:

    user_statistics=stats.user_accumulated_safetyscore(
        user_id='2948a036-36f8-4f76-babd-0635874aa3er',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        tag='')

Response:

"Result": [
        {
            "UserId": "2948a036-36f8-4f76-babd-0635874aa3er",
            "InstanceId": "",
            "AppId": "",
            "CompanyId": "",
            "AccelerationScore": 77.625,
            "BrakingScore": 81.96875,
            "SpeedingScore": 70.125,
            "PhoneUsageScore": 86.46875,
            "CorneringScore": 85.71875,
            "SafetyScore": 89.53125,
            "PermissionsLevel": 93,
            "TrustLevel": 93.0
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []

---

entity_accumulated_ecoscore

Retrieve the accumulated ecoscore for an entity.

Parameters:

• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter
• One of the following must be provided:
  • instance_id: Instance ID
  • app_id: Application ID
  • company_id: Company ID

Example:

Request:

    instance_statistics=stats.entity_accumulated_ecoscore(
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        instance_id="your_instance_id",

    )

Response:

    "Result": {
        "UserId": null,
        "InstanceId": "your_instance_id",
        "AppId": null,
        "CompanyId": null,
        "EcoScoreFuel": 97.52329737487166,
        "EcoScoreTyres": 100.0,
        "EcoScoreBrakes": 75.59935000534821,
        "EcoScoreDepreciation": 44.719564784133794,
        "EcoScore": 80.30344045080935,
        "PermissionsLevel": 94,
        "TrustLevel": 94.0
    },
    "Status": 200,
    "Title": "",
    "Errors": []

---

entity_daily_statistics

Fetch daily statistics for an entity.

Parameters:

• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter
• One of the following must be provided:
  • instance_id: Instance ID
  • app_id: Application ID
  • company_id: Company ID

Example:

Request:

company_d_statistics=stats.entity_daily_statistics(
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        company_id='your_company_id'
    )

Response:

"Result": [
        {
            "InstanceId": null,
            "AppId": null,
            "CompanyId": "your_company_id",
            "ReportDate": "2023-09-18T00:00:00",
            "RegisteredUsers": 12,
            "ActiveUsers": 282,
            "MileageKm": 25382.13108184097,
            "MileageMile": 15772.456254255985,
            "TripsCount": 1789,
            "DriverTripsCount": 1786,
            "OtherTripsCount": 3,
            "MaxSpeedKmh": 146.1915283203125,
            "MaxSpeedMileh": 90.84341569824218,
            "AverageSpeedKmh": 36.002057830035696,
            "AverageSpeedMileh": 22.371678735584183,
            "TotalSpeedingKm": 560.9847620514762,
            "TotalSpeedingMile": 348.595931138787,
            "AccelerationsCount": 1139,
            "BrakingsCount": 1326,
            "CorneringsCount": 1474,
            "PhoneUsageDurationMin": 3800.4465833333334,
            "PhoneUsageMileageKm": 2284.020002380001,
            "PhoneUsageMileageMile": 1419.290029478932,
            "PhoneUsageSpeedingDurationMin": 12.098366666666667,
            "PhoneUsageSpeedingMileageKm": 10.980101468687467,
            "PhoneUsageSpeedingMileageMile": 6.823035052642389,
            "DrivingTime": 35077.866666666676,
            "NightDrivingTime": 1351.4007195532322,
            "DayDrivingTime": 21381.867682458833,
            "RushHoursDrivingTime": 12418.06661722064,
            "PermissionsLevel": 95,
            "TrustLevel": 95.0
        },
  ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

entity_safety_score

Obtain safety score for an entity.

Parameters:

• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter
• One of the following must be provided:
  • instance_id: Instance ID
  • app_id: Application ID
  • company_id: Company ID

Example:

Request:

instance_statistics=stats.entity_daily_safetyscore(
        start_date='2023-09-20T00:00:00',
        end_date='2023-10-02T00:00:00',
        app_id="your_app_id",
    )

Response:

"Result": [
			{
            "InstanceId": null,
            "AppId": "your_app_id",
            "CompanyId": null,
            "ReportDate": "2023-10-02T00:00:00",
            "AccelerationScore": 76.99007444168734,
            "BrakingScore": 76.41935483870968,
            "SpeedingScore": 90.21339950372209,
            "PhoneUsageScore": 74.04466501240695,
            "CorneringScore": 74.01488833746899,
            "SafetyScore": 83.22332506203475,
            "PermissionsLevel": 95,
            "TrustLevel": 95.0
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

entity_accumulated_statistics

Get accumulated statistics for an entity.

Parameters:

• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter
• One of the following must be provided:
  • instance_id: Instance ID
  • app_id: Application ID
  • company_id: Company ID

Example:

Request:

    company_statistics=stats.entity_accumulated_statistics(
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        company_id='your_company_id'
    )

Response

{
    "Result": {
        "InstanceId": null,
        "AppId": null,
        "CompanyId": "your_company_id",
        "TotalRegisteredUsers": 299,
        "ActiveUsers": 491,
        "MileageKm": 765112.3461886081,
        "MileageMile": 475440.8119216011,
        "TripsCount": 47429,
        "DriverTripsCount": 47200,
        "OtherTripsCount": 229,
        "MaxSpeedKmh": 235.80712890625,
        "MaxSpeedMileh": 146.53054990234375,
        "AverageSpeedKmh": 37.49730203560512,
        "AverageSpeedMileh": 23.300823484925015,
        "TotalSpeedingKm": 18645.076059143215,
        "TotalSpeedingMile": 11586.050263151588,
        "AccelerationsCount": 31278,
        "BrakingsCount": 39863,
        "CorneringsCount": 40161,
        "PhoneUsageDurationMin": 117555.1976166667,
        "PhoneUsageMileageKm": 67128.67055363058,
        "PhoneUsageMileageMile": 41713.75588202606,
        "PhoneUsageSpeedingDurationMin": 347.51840000000016,
        "PhoneUsageSpeedingMileageKm": 357.2293322990894,
        "PhoneUsageSpeedingMileageMile": 221.98230709065405,
        "DrivingTime": 1014552.5333333339,
        "NightDrivingTime": 43901.92194293812,
        "DayDrivingTime": 636574.804801112,
        "RushHoursDrivingTime": 341089.71085665515,
        "PermissionsLevel": 95,
        "TrustLevel": 95.0
    },
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

entity_daily_safetyscore

Fetch daily safety score for an entity.

Parameters:

• start_date: Start date
• end_date: End date
• tag (optional): Tag to filter
• One of the following must be provided:
  • instance_id: Instance ID
  • app_id: Application ID
  • company_id: Company ID

Example:

Request:

    app_statistics=stats.entity_daily_safetyscore(
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        app_id="your_app_id", 
    )

Response:

"Result": [
{
            "InstanceId": null,
            "AppId": "your_app_id",
            "CompanyId": null,
            "ReportDate": "2023-10-02T00:00:00",
            "AccelerationScore": 76.99007444168734,
            "BrakingScore": 76.41935483870968,
            "SpeedingScore": 90.21339950372209,
            "PhoneUsageScore": 74.04466501240695,
            "CorneringScore": 74.01488833746899,
            "SafetyScore": 83.22332506203475,
            "PermissionsLevel": 95,
            "TrustLevel": 95.0
        },
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

lastupdates

Get the last updates for a user.

Parameters:

• user_id: ID of the user

Example:

Request:

    metadata=stats.lastupdates(
        user_id='2948a036-36f8-4f46-babd-0635870aa7ed'
        )

Response:

{
    "Result": [
        {
            "UserId": "your_user_id",
            "InstanceId": "your_instance_id",
            "AppId": "your_app_id",
            "CompanyId": "your_company_id",
            "LatestTripDate": "2023-10-11T14:33:40+01:00",
            "LatestScoringDate": "2023-10-11T00:00:00"
        }
    ],
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

uniquetags

Obtain unique tags for a user within a specific range.

Parameters:

• user_id: ID of the user
• start_date: Start date
• end_date: End date

Example:

Request:

   metadata=stats.uniquetags(
        user_id='2948a036-36f8-4f46-babd-0635870aa7ed',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',                                 
    )

Response:

{
    "Result": {
        "UniqueTagsCount": 2,
        "UniqueTagsList": [
            "your_tag_1",
            "your_tag_x"
        ]
    },
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

4. Note

• In all methods, if there's a HTTPError, the error will be printed, and the response will be handled accordingly.
• For daily statistics, scores, and list of trips, the methods automatically modify the requested period to 14 days if the original request spans a period longer than that.

5. Response

The Statistics Response processes and provides easy access to specific parts of the data returned by the Statistics module. Here's a detailed breakdown of its properties and methods:

result

Provides the 'Result' from the response. If the result is a list with a single item, it returns that item. Otherwise, it returns the full list or results.

Return Type: dict or list

---

status

Returns the 'Status' from the response.

Return Type: dict

---

title

Returns the 'Title' of the response.

Return Type: str

---

errors

Fetches any 'Errors' from the response.

Return Type: list

---

latest_trip_date

Provides the 'LatestTripDate' from the result.

Return Type: Depends on data (e.g., str, None)

---

latest_scoring_date

Retrieves the 'LatestScoringDate' from the result.

Return Type: Depends on data (e.g., str, None)

---

tags_count

Gives the 'UniqueTagsCount' from the result.

Return Type: Depends on data (e.g., int, None)

---

tags_list

Fetches the 'UniqueTagsList' from the result.

Return Type: Depends on data (e.g., list, None)

5. Usage

After you fetch data using methods from the Statistics module, you can pass the returned data to StatisticsResponse to further process and easily access specific parts of the response.

# Import and initial initialization

from damoov_admin import statistics
email="[email protected]"
password="YOUR PASSWORD"

stats = statistics.DamoovAuth(email=email, password=password)

# Methods to fetch user statistics and scores
app_statistics=stats.entity_daily_safetyscore(
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',
        app_id="your_app_id", 
    )
  print(app_statistics)
  print(app_statistics.status)
  print(app_statistics.result)
  
  
  metadata=stats.uniquetags(
        user_id='2948a036-36f8-4f46-babd-0635870aa7ed',
        start_date='2023-09-01T00:00:00',
        end_date='2023-10-02T00:00:00',                                 
    )
  print(metadata.tags_list)
  print(metadata.tags_count)
  
  
  metadata=stats.lastupdates(
        user_id='2948a036-36f8-4f46-babd-0635870aa7ed'
        )
  print(metadata.latest_trip_date)
  print(metadata.latest_scoring_date)

Trips

---

The Trips module offers a robust set of functionalities designed for efficient trip data management. This encompasses a range of operations from fetching trip details, updating trip

1. Get started

If you haven't already, install the Damoov-Admin SDK for Python.

pip install damoov-admin

Begin by importing the User management module and finalizing the authentication process.

from damoov_admin import trips
email="[email protected]"
password="YOUR PASSWORD"

trips_mngt = trips.DamoovAuth(email=email, password=password)

2. Methods

The Trips module offers a robust set of functionalities tailored for managing and fetching trip-related data. Here's a comprehensive breakdown of its methods and their usage:

Syntaxes:

• sort_by: Sort parameter (e.g., "StartDateUtc, StartDateUtc_Desc").
• unit_system: Measurement unit system (e.g., "Si" or "Imperial")
• user_id: ID of the user/ DeviceToken whose trips are to be fetched.
• start_date, end_date: Date range for the trip in format YYYY-MM-DDTHH:MM:SS
• start_date_timestamp_sec, end_date_timestamp_sec: Alternative date range using timestamps.
• include_details: Include detailed trip data, like start, end address, transportation type, and tags
• include_statistics: Include statistics related to the trip.
• include_scores: Include scores associated with the trip.
• include_waypoints: Include per-second GPS waypoints of the trip.
• include_events: Include events or incidents associated with the trip.
• include_related: Include related trip data, including URI for future get requests.
• tags_included: Tags to be included in the filtering.
• tags_excluded: Tags to be excluded in the filtering.
• limit: Limit the number of trips returned.

---

get_list_trips

Fetches the list of trips for a specific user, with various optional filters to refine the result set.

• Parameters:
  • user_id: Required
  • start_date, end_date: Required.
  • start_date_timestamp_sec, end_date_timestamp_sec
  • include_details
  • include_statistics
  • include_scores
  • include_related
  • tags_included
  • tags_excluded:
  • unit_system
  • sort_by
  • limit

Example:

Request

    user_trip_details=trip.get_list_trips(
    user_id='user_id',
    # start_date='2023-09-09', 
    # end_date='2023-10-10', 
    start_date_timestamp_sec=1696704060, 
    end_date_timestamp_sec=1696713840,
    sort_by='StartDateUtc',
    include_details=False, 
    include_statistics=False, 
    include_scores=False, 
    include_related=True, 
    tags_included=None, 
    tags_excluded=None,  
    locale="EN", 
    unit_system="Imperial",
    # limit=3
    )

Response

{
    "Result": {
        "Trips": [
            {
                "Id": "trip_id",
                "DateUpdated": "2022-09-10T12:29:25+00:00",
                "Identifiers": {
                    "CompanyId": "company_id",
                    "ApplicationId": "application_id",
                    "InstanceId": "instance_id",
                    "UserId": "user_id"
                },
                "Data": {
                    "StartDate": "2022-09-10T12:20:25+00:00",
                    "EndDate": "2022-09-10T12:29:25+00:00",
                    "UnitSystem": "Imperial",
                    "Addresses": {
                        "Start": {
                            "Full": "102 Beach St, San Francisco, CA 94133-1101, United States",
                            "Parts": {
                                "CountryCode": "USA",
                                "Country": "United States",
                                "County": "San Francisco",
                                "State": "California",
                                "City": "San Francisco",
                                "District": "Fisherman's Wharf",
                                "Street": "Beach St",
                                "House": "102"
                            }
                        },
                        "End": {
                            "Full": "E Beach, San Francisco, CA 94129, United States",
                            "Parts": {
                                "CountryCode": "USA",
                                "Country": "United States",
                                "County": "San Francisco",
                                "State": "California",
                                "City": "San Francisco",
                                "District": "Presidio",
                                "Street": "E Beach"
                            }
                        }
                    },
                    "TransportType": {
                        "Current": "OriginalDriver",
                        "ConfirmNeeded": false
                    },
                    "Tags": []
                },
                "Statistics": {
                    "Mileage": 4.143953744168464,
                    "DurationMinutes": 17.183333333333334,
                    "AccelerationsCount": 0.0,
                    "BrakingsCount": 0.0,
                    "CorneringsCount": 1.0,
                    "TotalSpeedingMileage": 0.0,
                    "MidSpeedingMileage": 0.0,
                    "HighSpeedingMileage": 0.0,
                    "PhoneUsageDurationMinutes": 11.989366666666665,
                    "PhoneUsageMileage": 3.5955679069262994,
                    "PhoneUsageWithSpeedingDurationMinutes": 0.0,
                    "PhoneUsageWithSpeedingMileage": 0.0,
                    "DayHours": 17.233333587646484,
                    "RushHours": 0.0,
                    "NightHours": 0.0,
                    "AverageSpeed": 11.416121791501084,
                    "MaxSpeed": 19.790273235742262
                },
                "Scores": {
                    "Safety": 97.0,
                    "Acceleration": 100.0,
                    "Braking": 100.0,
                    "Cornering": 56.0,
                    "Speeding": 100.0,
                    "PhoneUsage": 40.0,
                    "Eco": 77.0,
                    "EcoBrakes": 100.0,
                    "EcoDepreciation": 25.0,
                    "EcoFuel": 100.0,
                    "EcoTyres": 100.0
                },
                "Related": [
                    {
                        "Type": "Waypoints",
                        "Uri": "https://api.telematicssdk.com/trips/get/admin/v1/trip_id/waypoints"
                    },
                    {
                        "Type": "Trip",
                        "Uri": "https://api.telematicssdk.com/trips/get/v1/trip_id"
                    }
                ]
            }
        ]
    },
    "Status": 200,
    "Title": "",
    "Errors": []
}

---

get_trip_details

Retrieves waypoint details of a specific trip by its unique ID.

• Parameters:
  • trip_id: (Required)
  • user_id: (Required)
  • include_details: Include detailed trip data.
  • include_statistics: Include statistics related to the trip.
  • include_scores: Include scores associated with the trip.
  • include_waypoints: Include waypoints of the trip.
  • include_events: Include events associated with the trip.
  • include_related: Include related trip data.
  • locale: Locale settings (e.g., "EN").
  • unit_system: Measurement unit system (e.g., "Si" or "Imperial").

Example:

Request

    trip_details = trip.get_trip_details(
    trip_id="trip_id",
    user_id="user_id",
    include_details=True, 
    include_statistics=True, 
    include_scores=True, 
    include_waypoints=True,
    include_events=True, 
    include_related=True, 
    locale="EN", 
    unit_system="Imperial"
    )

Response

{
    "Result": {
        "Trip": {
            "Id": "trip_id",
            "DateUpdated": "2023-10-11T07:34:31+00:00",
            "Identifiers": {
                "CompanyId": "company_id",
                "ApplicationId": "application_id",
                "InstanceId": "instance_id",
                "UserId": "user_id"
            },
            "Data": {
                "StartDate": "2023-10-09T08:19:23+01:00",
                "StartDateUnixMilliseconds": 1696835963000,
                "EndDate": "2023-10-09T08:36:44+01:00",
                "EndDateUnixMilliseconds": 1696837004000,
                "UnitSystem": "Imperial",
                "Addresses": {
                    "Start": {
                        "Full": "Avenida Marechal Gomes da Costa 17, 1800-253 Lisbon, Portugal",
                        "Parts": {
                            "CountryCode": "PRT",
                            "Country": "Portugal",
                            "County": "Lisbon",
                            "City": "Lisbon",
                            "District": "Lisbon",
                            "Street": "Avenida Marechal Gomes da Costa",
                            "House": "17"
                        }
                    },
                    "End": {
                        "Full": "Rua do Arco do Cego 177, 1000-020 Lisbon, Portugal",
                        "Parts": {
                            "CountryCode": "PRT",
                            "Country": "Portugal",
                            "County": "Lisbon",
                            "City": "Lisbon",
                            "District": "Lisbon",
                            "Street": "Rua do Arco do Cego",
                            "House": "177"
                        }
                    }
                },
                "TransportType": {
                    "Current": "OriginalDriver",
                    "ConfirmNeeded": true
                },
                "Tags": []
            },
            "Statistics": {
                "Mileage": 3.111590678261461,
                "DurationMinutes": 17.35,
                "AccelerationsCount": 1.0,
                "BrakingsCount": 0.0,
                "CorneringsCount": 0.0,
                "TotalSpeedingMileage": 0.021650736620396006,
                "MidSpeedingMileage": 0.06389130188092126,
                "HighSpeedingMileage": 0.0,
                "PhoneUsageDurationMinutes": 0.0,
                "PhoneUsageMileage": 0.0,
                "PhoneUsageWithSpeedingDurationMinutes": 0.0,
                "PhoneUsageWithSpeedingMileage": 0.0,
                "DayHours": 0.0,
                "RushHours": 17.270366668701172,
                "NightHours": 0.0,
                "AverageSpeed": 20.500146429454027,
                "MaxSpeed": 47.186389247420195
            },
            "Scores": {
                "Safety": 79.0,
                "Acceleration": 53.0,
                "Braking": 100.0,
                "Cornering": 100.0,
                "Speeding": 48.0,
                "PhoneUsage": 100.0,
                "Eco": 91.0,
                "EcoBrakes": 100.0,
                "EcoDepreciation": 75.0,
                "EcoFuel": 98.94907,
                "EcoTyres": 100.0
            },
              "Waypoints": [
                {
                    "Index": 0,
                    "SecSinceStart": 0,
                    "PointDateUnixMilliseconds": 0,
                    "Lat": 0,
                    "Long": 0,
                    "Speed": 0,
                    "SpeedLimit": 0,
                    "Speeding":status ,
                    "PhoneUsage": true
                }
              ],
            "Events": [
                {
                    "Id": "",
                    "Type": "Acceleration",
                    "Date": "2023-10-09T08:22:10+01:00",
                    "Lat": 38.74998,
                    "Long": -9.10616,
                    "Value": 3.353325366973877
                }
            ],
            "Related": [
                {
                    "Type": "Waypoints",
                    "Uri": "https://api.telematicssdk.com/trips/get/admin/v1/300665e1-e415-46ab-892f-1cd25afd650d/waypoints"
                }
            ]
        }
    },
    "Status": 200,
    "Title": "",
    "Errors": []
}

3. Note

• In all methods, if there's a HTTPError, the error will be printed, and the response will be handled accordingly.
• For daily statistics, scores, and list of trips, the methods automatically modify the requested period to 14 days if the original request spans a period longer than that.

4. Response

The TripsResponse processes and provides easy access to specific parts of the data returned by the Trips module. Here's a detailed breakdown of its properties:

result

Returns the 'Result' part from the response.

Return Type: dict

---

trips

Provides the list of 'Trip' items from the response. If the result is not a list, an empty list is returned.

Return Type: list

---

statistics

Provides the 'Statistics' information for a trip.

Return Type: dict

---

details

Returns the detailed data for the 'Trip'.

Return Type: dict

---

transporttype

Provides the 'TransportType' information for a trip.

Return Type: dict

---

scores

Returns the 'Scores' for the trip.

Return Type: dict

---

events

Provides the 'Events' for the trip.

Return Type: dict

---

waypoints

Returns the 'Waypoints' for the trip.

Return Type: dict

---

paging_info

Provides the paging information if available.

Return Type: dict

---

status

Returns the 'Status' from the response.

Return Type: dict

---

datetime

Provides the 'Data' (usually representing datetime) from the response.

Return Type: dict

---

trip_id

Returns the unique ID for the trip.

Return Type: Depends on data (e.g., str, None)

---

5. Usage

After making calls to the Trips module to retrieve trip-related data, you can pass the returned data to TripsResponse to further process and easily access specific parts of the response.

# Import and initial initialization

from damoov_admin import trips
email="[email protected]"
password="YOUR PASSWORD"

trips_mngt = trips.DamoovAuth(email=email, password=password)

# Method to get a list of trips for selected period of time
user_trip_details=trip.get_list_trips(
    user_id='7623f515-b867-4325-bc63-3a0248d4f774',
    # start_date='2023-09-09', 
    # end_date='2023-10-10', 
    start_date_timestamp_sec=1696704060, 
    end_date_timestamp_sec=1696713840,
    sort_by='StartDateUtc',
    tags_included=['Business'],
    include_details=True, 
    include_statistics=True, 
    include_scores=True, 
    include_related=True, 
    locale="EN", 
    unit_system="Imperial", 
    limit=1
    )

print('status: ', user_trip_details.status)
print('details: ', user_trip_details.details)
print('trips: ',user_trip_details.trips)
print('trip id: ',user_trip_details.trip_id)
print('date and time: ', user_trip_details.datetime)
print(user_trip_details.paging_info)
print(user_trip_details) # prints full response in JSON format
    

# Methods to fetch trip details, including waypoints, for a specific trip ID.
trip_details = trip_mngt.get_trip_details(
      trip_id="trip_id",
      user_id="user_id",
      include_details=True, 
      include_statistics=True, 
      include_scores=True, 
      include_waypoints=True,
      include_events=True, 
      include_related=True, 
      locale="EN", 
      unit_system="Imperial"
    )

print(trip_details) # prints full response in JSON format
print('Status: ', trip_details.status)
print('Result: ',trip_details.result)
print('Statistics: ',trip_details.statistics)
print('Scores: ',trip_details.scores)
print('Events: ',trip_details.events)
print('Waypoints: ',trip_details.waypoints)
print('Details: ',trip_details.details)
print('Transportation mode: ',trip_details.transporttype)
 

Users

---

The Users module provides a comprehensive suite of functionalities to manage user data effectively, ranging from user creation, updates, to deletions. Below is a breakdown of its methods and their usage:

1. Get started

If you haven't already, install the Damoov-Admin SDK for Python.

pip install damoov-admin

Begin by importing the User management module and finalizing the authentication process.

from damoov_admin import users
email="[email protected]"
password="YOUR PASSWORD"

user_mngt = users.DamoovAuth(email=email, password=password)

2. Methods

Syntaxes:

• instanceid: The instance ID for the user.
• instancekey: The instance Key for the user.
• ClientId: A unique identifier assigned by the client for the user.
• FirstName: First name of the user.
• LastName: Last name of the user.
• Nickname: Nickname for the user.
• Phone: Phone number of the user.
• Email: Email address of the user.
• CreateAccessToken: If set to True, a user's access token will be created.

---

create_user

Creates a new user based on the given parameters.

Parameters

• instanceid: Required.
• instancekey: Required.
• FirstName: Optional.
• LastName: Optional.
• Nickname: Optional.
• Phone: Optional.
• Email: Optional.
• ClientId: Optional.
• CreateAccessToken: Optional.

Example:

Request:

    new_user=users_mgnt.create_user(
        instanceid='your_instance_id',
        instancekey='your_instance_key',
        FirstName='FirstName',
        LastName='LastName',
        Nickname='Nickname',
        Phone='123456789',
    )

Response:

📘 DeviceToken is an old name for UserId

{
    "Result": {
        "DeviceToken": "user_devicetoken/userid", // DeviceToekn is the same as UserId
        "AccessToken": null,
        "RefreshToken": null
    },
    "Status": 200,
    "Title": "",
    "Errors": []
}

update_user

Updates user details based on the given parameters.

Parameters

• userid: Required. User's unique identifier.
• ClientId: Optional. Client ID for the user.
• FirstName: Optional. Updated first name of the user.
• LastName: Optional. Updated last name of the user.
• Nickname: Optional. Updated nickname for the user.
• Phone: Optional. Updated phone number of the user.
• Email: Optional. Updated email address of the user.

Example:

Request:

    user=users_mgnt.update_user(
        userid='User_Id',
        FirstName='Tim',
        LastName='Plumber',
        Nickname='Tim-tim',
        Phone='123456789',
        ClientId='12-34-56789'
    )

Response:

{
    "Status": 200,
    "Title": "",
    "Errors": []
}

delete_user

Parameters:

Example:

Request:

delete_user=users_mgnt.delete_user(
        userid='User_devicetoken/userid'
    )

Response:

{
    "Status": 200,
    "Title": "",
    "Errors": []
}

3. Note

• In all methods, if there's a HTTPError, the error will be printed, and the response will be handled accordingly.

4. Response

The UsersResponse class is tailored to process and provide convenient access to specific parts of the data returned from user-related operations. Here's an in-depth breakdown of its properties and methods:

devicetoken

Returns the DeviceToken from the response's Result section. It provides the device token/ UseId associated with the user.

Return Type: Depends on data (e.g., str, None)

---

userid

Returns the user ID from the response's Result section. It provides the device token/ UseId associated with the user.

Return Type: Depends on data (e.g., str, None)

---

status

Extracts the 'Status' of the response. This typically indicates the success or failure of the operation and might contain relevant status codes or messages.

Return Type: dict

5. Usage

After conducting operations related to users, you can pass the returned data to UsersResponse to further process and effortlessly access specific parts of the response.

# Import and initial initialization
from damoov_admin import users
email="[email protected]"
password="YOUR PASSWORD"

user_mngt = users.DamoovAuth(email=email, password=password)

# Use methods to create and manage users
new_user=users.create_user(
        instanceid='your_instance_id',
        instancekey='your_instance_key',,
    )
    print(new_user)
    print(new_user.devicetoken)
    print(new_user.status)
    print(new_user.userid)
 
 user=users_mgnt.update_user(
        userid='User_Id',
        FirstName='Tim',
        LastName='Plumber',
        Nickname='Tim-tim',
        Phone='123456789',
        ClientId='12-34-56789'
    )

    print(user)
    print(user.status)