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Python client for the Harvest Forecast API — async and sync, with full coverage.

Project description

harvest-forecast-py

Python client for the Harvest Forecast API — async and sync, with full coverage.

Features

  • Full API coverage — All resources, mutations, aggregates, and meta endpoints from the Forecast API
  • Async and sync clientsForecastClient for async/await code, SyncForecastClient for synchronous code (generated via unasync)
  • Fully typed — Pydantic v2 models for all responses, type hints throughout, py.typed marker included
  • Automatic retry — Configurable retry policy with exponential backoff and jitter for transient failures (429, 5xx, network errors)
  • Pagination & windowing — Handles Forecast's pagination and the 2520-day assignment date range limit internally
  • Structured exceptions — Typed exception hierarchy mapping HTTP status codes to specific errors
  • Published on PyPI — Install with pip or uv, no build step required

Installation

# with pip
pip install harvest-forecast-py

# with uv
uv add harvest-forecast-py

Quick Start

Async

import asyncio
from datetime import date
from harvest_forecast import AssignmentFilter, ForecastClient

async def main() -> None:
    async with ForecastClient(
        access_token="your-personal-access-token",
        account_id="123456",
        user_agent="my-app (you@example.com)",
    ) as client:
        people = await client.list_people()
        for person in people:
            print(person.id, person.first_name, person.last_name)

        assignments = await client.list_assignments(
            AssignmentFilter(
                start_date=date(2026, 1, 1),
                end_date=date(2026, 1, 31),
            ),
        )

asyncio.run(main())

Sync

from datetime import date
from harvest_forecast import AssignmentFilter, SyncForecastClient

with SyncForecastClient(
    access_token="your-personal-access-token",
    account_id="123456",
    user_agent="my-app (you@example.com)",
) as client:
    people = client.list_people()
    for person in people:
        print(person.id, person.first_name, person.last_name)

    assignments = client.list_assignments(
        AssignmentFilter(
            start_date=date(2026, 1, 1),
            end_date=date(2026, 1, 31),
        ),
    )

Authentication

The Harvest Forecast API uses three pieces of credentials, all passed to the client constructor:

Parameter Description
access_token A personal access token. Create one at id.getharvest.com → Developer Tools → Personal Access Tokens.
account_id Your Forecast account ID (a numeric string). Find it via client.whoami() or in the Forecast web app.
user_agent A string identifying your application, including a contact email. Required by the Harvest API. Example: "my-app (you@example.com)".

The client sends these as headers on every request:

  • Authorization: Bearer {access_token}
  • Forecast-Account-ID: {account_id}
  • User-Agent: {user_agent}
  • Accept: application/json

The library does not load configuration from environment variables or files — pass credentials as plain constructor arguments so callers control their own config.

API Overview

Resources

Resource List Get by ID Create Update Delete
Assignments list_assignments(filter) create_assignment(req) update_assignment(id, req) delete_assignment(id)
Clients list_clients()
Milestones list_milestones()
People list_people() get_person(id)
Placeholders list_placeholders() get_placeholder(id)
Projects list_projects() get_project(id)
Roles list_roles() get_role(id)
Repeated Assignment Sets list_repeated_assignment_sets() get_repeated_assignment_set(id)

Meta Endpoints

Method Returns Notes
whoami() CurrentUser Returns account IDs — useful for discovering your Forecast account ID
get_account() Account Account metadata, Harvest subdomain, billing status
get_subscription() Subscription Billing/subscription details
list_user_connections() list[UserConnection] Currently connected users

Aggregates

Method Returns
remaining_budgeted_hours() list[RemainingBudgetedHoursItem]
future_scheduled_hours(from_date) list[FutureScheduledHoursItem]
future_scheduled_hours_for_project(from_date, project_id) list[FutureScheduledHoursItem]
assigned_people(start_date, end_date) dict[str, list[int]]
project_heatmap(from, to, project_id, scale) list[ProjectHeatmapItem]
person_heatmap(from, to, person_id, scale) list[PersonHeatmapItem]
placeholder_heatmap(from, to, placeholder_id, scale) list[PlaceholderHeatmapItem]

All methods return materialized objects — internal pagination and date windowing are hidden from callers.

Error Handling

The client maps HTTP status codes to a typed exception hierarchy before raising:

from harvest_forecast import (
    ForecastClient,
    ForecastAuthError,
    ForecastNotFoundError,
    ForecastRateLimitError,
    ForecastServerError,
    ForecastValidationError,
    ForecastHTTPError,
)

async with ForecastClient(...) as client:
    try:
        person = await client.get_person(999999)
    except ForecastAuthError:
        # 401 or 403 — invalid token or account ID
        ...
    except ForecastNotFoundError:
        # 404 — resource doesn't exist
        ...
    except ForecastRateLimitError as e:
        # 429 — rate limited (e.retry_after may have the Retry-After value)
        ...
    except ForecastServerError:
        # 5xx — server-side error
        ...
    except ForecastValidationError as e:
        # API returned an error body (e.g. missing required fields)
        print(e.response_body)
    except ForecastHTTPError as e:
        # Catch-all for other HTTP errors
        print(e.status_code, e.response_body)

All HTTP exceptions carry status_code: int, response_body: str, and url: str.

Retry

The client retries transient failures (429, 5xx, network errors) automatically using a configurable RetryPolicy:

from harvest_forecast import ForecastClient, RetryPolicy

# Default: 6 attempts, exponential backoff (1s → 60s), 2s jitter
async with ForecastClient(
    access_token="...",
    account_id="...",
    user_agent="...",
    retry=RetryPolicy(),
) as client:
    ...

# Disable retries
async with ForecastClient(
    ...,
    retry=RetryPolicy(max_attempts=1),
) as client:
    ...

Retry behavior:

  • 429 / 5xx → retry with exponential backoff + jitter, honouring the Retry-After header
  • Network errors (httpx.TransportError) → retry
  • 4xx (non-429) → raise immediately, no retry
  • Hard cap on attempts to prevent infinite loops in cron-triggered jobs

See the retry guide for details.

Documentation

Full documentation is available at https://AZX-PBC-OSS.github.io/harvest-forecast-py/.

License

MIT — Copyright (c) 2025 AZX, PBC.

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