Add farm season calendar with yr.no weather integration for Norwegian climate zones

[Copilot]

Implements garden planning system with companion planting, crop rotation, succession planting, automated reminders, and real-time weather integration optimized for Norwegian climate zones 1-8.

Core Components

4 new doctypes:

• Crop - Growing data (family, zones, planting/harvest windows, maturity days, frost tolerance, companions)
• Garden Plot - Physical plot tracking (dimensions, soil type, pH, sun exposure, drainage)
• Garden Planting Schedule - Seasonal planning with rotation history and email reminders
• Garden Planting Item - Individual plantings with status tracking

10 API endpoints:

• get_planting_calendar(zone, month) - Crops by zone/month with proper chronological month handling
• get_companion_planting_suggestions(crop) - Good/bad companions with substring matching
• get_crop_rotation_suggestions(plot, previous_crop) - Rotation by family to prevent disease
• calculate_succession_planting(crop, start_date, end_date) - Multiple planting dates
• generate_garden_shopping_list(schedule) - Seed/plant quantities
• get_upcoming_garden_tasks(days_ahead) - Planting/harvest reminders
• get_weather_forecast_for_location(lat, lon, days) - 7-day weather forecast from yr.no
• get_frost_risk_for_location(lat, lon) - Frost risk alerts for crop protection
• get_planting_weather_advice_for_location(lat, lon, crop) - Weather-based planting recommendations
• get_weather_for_garden_plot(plot_name, days) - Automatic weather for garden plots

Scheduled task:

• send_garden_reminders() - Daily email notifications with HTML-escaped content

Weather module (assist/utils/weather_yr.py):

• Real-time data from Norwegian Meteorological Institute (yr.no)
• 7-day forecasts with temperature, precipitation, wind, humidity
• Frost detection with severity classification (light/hard)
• Weather-based planting advice considering crop requirements
• Crop-specific recommendations using frost tolerance data

Fixtures:

• 12 Norwegian crops (Tomat, Gulrot, Potet, Salat, Kål, Erter, Løk, Agurk, Reddik, Jordbær, Basilikum, Squash)

Technical Details

Month comparison: Uses numeric indices instead of string comparison to handle chronological ordering and year-spanning seasons correctly.

Companion matching: Substring search allows partial crop name matches (e.g., "Tomat" matches "Tomat (Tomato)").

Security: HTML escaping via frappe.utils.html_escape() on all user inputs in email templates.

Harvest calculation: Automatic expected harvest dates using add_days(planting_date, days_to_maturity).

Validation: Warns on incompatible companion crops and cross-year planting windows.

Weather integration: Complies with yr.no API terms (User-Agent header), includes proper error handling, safe attribute access with getattr(), and comprehensive logging.

Example Usage

# Get crops for zone 3 in May
result = frappe.call(
    "assist.api.get_planting_calendar",
    norwegian_zone="3",
    month="May"
)

# Calculate succession planting for continuous harvest
schedule = frappe.call(
    "assist.api.calculate_succession_planting",
    crop_name="Salat (Lettuce)",
    start_date="2026-04-01",
    end_date="2026-07-31"
)
# Returns 8 planting dates spaced 14 days apart

# Check frost risk before planting
frost = frappe.call(
    "assist.api.get_frost_risk_for_location",
    latitude=59.9139,
    longitude=10.7522
)
# Returns frost alerts with severity classification

# Get weather-based planting advice
advice = frappe.call(
    "assist.api.get_planting_weather_advice_for_location",
    latitude=59.9139,
    longitude=10.7522,
    crop_name="Tomat (Tomato)"
)
# Returns: "Tomat (Tomato) is not frost-tolerant - wait until frost risk passes"

# Create schedule with automatic harvest dates
doc = frappe.get_doc({
    "doctype": "Garden Planting Schedule",
    "garden_plot": "Main Garden",
    "planting_items": [
        {
            "crop": "Tomat (Tomato)",
            "planting_date": "2026-05-15",
            # Expected harvest calculated automatically: 2026-07-24
        }
    ],
    "enable_email_reminders": 1
})

Testing

12 tests covering doctype structure, API methods, fixture data, companion planting integrity, zone validation, and weather integration functionality.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Farm season calendar for Norway </issue_title>
<issue_description>Maximize your harvest
Companion planting

The world's most advanced Evidence-Based Companion Planting system — suggests plants that grow best together at the click of a button

Crop rotation

Helps you avoid a build-up of soil-borne pests and diseases from year to year

Succession Planting

Make the most of your space, and see when and where you have space to grow more

Follow-on Plans

Create next year's plan from the previous year's plan with the click of a button

phone-img
graden-planer
Avoid wastage - Never buy too many or too few plants or seeds again
Get a shopping list showing exactly which plants to buy and how many you need
Save money and time by raising the right number of plants

• track with email reminders when it’s time to plant, sow, and harvest each crop.
• calendar and planting recommendations
• garden layout
  </issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes Farm season calendar for Norway  #20

---

💬 We'd love your input! Share your thoughts on Copilot coding agent in our 2 minute survey.

[minfuel]

@copilot WEATHER INFO FROM YR.NO

[Copilot]

@copilot WEATHER INFO FROM YR.NO

Implemented yr.no weather integration in commit d8a6e3e:

New weather module (assist/utils/weather_yr.py):

• 7-day forecasts from Norwegian Meteorological Institute
• Temperature, precipitation, wind, humidity data
• Frost risk detection with severity classification
• Weather-based planting advice

4 new API endpoints:

• get_weather_forecast_for_location() - Get 7-day forecast
• get_frost_risk_for_location() - Check frost alerts
• get_planting_weather_advice_for_location() - Smart planting recommendations
• get_weather_for_garden_plot() - Weather for your plots

Smart features:

• Warns about frost risk for frost-sensitive crops
• Alerts for heavy rain or drought conditions
• Crop-specific advice based on temperature requirements
• Integrates with crop frost tolerance and min temperature settings

Example: For tomatoes, it checks frost forecast and warns "Tomat (Tomato) is not frost-tolerant - wait until frost risk passes" when frost is detected.

Full documentation added to FARM_SEASON_CALENDAR.md with API examples.