8bf7900324
Add wildlife_bp with sightings, stats, frequency, and CSV export endpoints; Bootstrap 5 dark journal template with live-updating summary cards, species bars, time-of-day frequency chart, and paginated/filterable sightings table. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
"""Wildlife journal blueprint — sighting log, stats, export."""
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import csv
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import io
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from flask import Blueprint, Response, current_app, jsonify, render_template, request
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wildlife_bp = Blueprint("wildlife", __name__, url_prefix="/wildlife")
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def _engine():
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return current_app.config.get("DB_ENGINE")
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@wildlife_bp.route("/")
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def journal():
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return render_template("wildlife/journal.html")
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@wildlife_bp.route("/api/sightings")
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def sightings_api():
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engine = _engine()
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if engine is None:
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return jsonify({"sightings": []})
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from vigilar.storage.queries import get_wildlife_sightings_paginated
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sightings = get_wildlife_sightings_paginated(
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engine,
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species=request.args.get("species"),
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threat_level=request.args.get("threat_level"),
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camera_id=request.args.get("camera_id"),
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since_ts=request.args.get("since", type=float),
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until_ts=request.args.get("until", type=float),
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limit=min(request.args.get("limit", 50, type=int), 500),
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offset=request.args.get("offset", 0, type=int),
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)
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return jsonify({"sightings": sightings})
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@wildlife_bp.route("/api/stats")
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def stats_api():
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engine = _engine()
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if engine is None:
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return jsonify({"total": 0, "species_count": 0, "per_species": {}})
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from vigilar.storage.queries import get_wildlife_stats
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return jsonify(get_wildlife_stats(engine))
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@wildlife_bp.route("/api/frequency")
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def frequency_api():
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engine = _engine()
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if engine is None:
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return jsonify({})
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from vigilar.storage.queries import get_wildlife_frequency
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return jsonify(get_wildlife_frequency(engine))
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@wildlife_bp.route("/api/export")
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def export_csv():
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engine = _engine()
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if engine is None:
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return Response("No data", mimetype="text/csv")
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from vigilar.storage.queries import get_wildlife_sightings_paginated
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sightings = get_wildlife_sightings_paginated(engine, limit=10000, offset=0)
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output = io.StringIO()
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writer = csv.writer(output)
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writer.writerow(["id", "timestamp", "species", "threat_level", "camera_id",
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"confidence", "temperature_c", "conditions"])
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for s in sightings:
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writer.writerow([s["id"], s["ts"], s["species"], s["threat_level"],
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s["camera_id"], s.get("confidence"), s.get("temperature_c"), s.get("conditions")])
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return Response(output.getvalue(), mimetype="text/csv",
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headers={"Content-Disposition": "attachment; filename=wildlife_sightings.csv"})
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