operatore: acquisizione immagine, proxy execute e overlay per camera_measure/dxf_compare (#46)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-07 11:55:42 +02:00
parent a829bf3eb0
commit 3856ee335a
4 changed files with 355 additions and 2 deletions
+67 -1
View File
@@ -1,8 +1,10 @@
"""MeasurementTec blueprint - recipe selection and measurement execution."""
import urllib.parse
import requests as http_requests
from flask import (
Blueprint, abort, flash, jsonify, redirect, render_template,
Blueprint, Response, abort, flash, jsonify, redirect, render_template,
request, session, url_for,
)
from flask_babel import gettext as _
@@ -820,3 +822,67 @@ def api_close_production(run_id: int):
def api_get_file(file_path: str):
"""Proxy: Serve file from API server (browser can't send X-API-Key)."""
return proxy_file(file_path)
# ---------------------------------------------------------------------------
# Route: vision execute (#46) - the browser sends an image, we relay it to
# POST /api/vision/execute (multipart) because it cannot send X-API-Key itself.
# ---------------------------------------------------------------------------
@measure_bp.route("/api/vision/execute", methods=["POST"])
@login_required
@role_required("MeasurementTec")
def api_vision_execute():
"""Proxy: run the task's VisionSuite recipe on the uploaded image."""
image = request.files.get("image")
task_id = request.form.get("task_id")
if image is None or not task_id:
return jsonify({
"error": True,
"detail": _("Dati mancanti: task_id e image sono obbligatori"),
}), 400
# Same context fields as the manual flow; empty ones are left out so the
# backend sees them as absent rather than as "".
form = {"task_id": task_id}
for key in ("task_type", "lot_number", "serial_number", "production_run_id"):
val = request.form.get(key)
if val:
form[key] = val
form.setdefault("lot_number", session.get("lot_number", ""))
form.setdefault("serial_number", session.get("serial_number", ""))
resp = api_client.post(
"/api/vision/execute",
data=form,
files={"image": (
image.filename or "capture.jpg",
image.read(),
image.mimetype or "application/octet-stream",
)},
)
if resp.get("error"):
status_code = resp.get("status_code", 500)
body = {"error": True, "detail": resp.get("detail", _("Errore nell'esecuzione"))}
if resp.get("session_expired"):
body["session_expired"] = True
return jsonify(body), status_code if status_code >= 400 else 500
return jsonify(resp), 200
@measure_bp.route("/api/vision/results/<int:result_id>/image", methods=["GET"])
@login_required
@role_required("MeasurementTec")
def api_vision_result_image(result_id: int):
"""Proxy: the image saved with a vision result (needs X-API-Key)."""
base_url = Config.API_SERVER_URL.rstrip("/")
resp = http_requests.get(
f"{base_url}/api/vision/results/{result_id}/image",
headers={"X-API-Key": session.get("api_key", "")},
timeout=30,
)
if resp.status_code != 200:
return Response(resp.text, status=resp.status_code)
return Response(
resp.content,
content_type=resp.headers.get("content-type", "application/octet-stream"),
)
@@ -0,0 +1,125 @@
/**
* Vision execute - Alpine component for camera_measure / dxf_compare tasks (#46).
*
* The operator takes (or picks) an image, `acquire(blob)` sends it to the Flask
* proxy, and the result - quote table, outcome, failures, overlay - is shown on
* the image. `acquire(blob)` is the single entry point on purpose: the agent
* camera (#3) will call it with its own blob and reuse everything below.
*
* Config comes from window.__visionCfg (set by the template):
* executeUrl, imageUrlTpl (with a 0 placeholder for the result id), taskId,
* taskType, subtasks, labels.
* Run context (lot, serial, production run) is read lazily through `ctx()`,
* which the template binds to the parent task component.
*/
function visionExecute() {
// Overlay colour per role (VisionSuite roles: reference, roi, found).
const ROLE_COLORS = { reference: '#2563eb', found: '#16a34a', roi: '#f59e0b' };
return {
busy: false,
error: '',
result: null, // last execute response
imageSrc: '', // object URL of the acquired image (shown under the overlay)
ctx: () => ({}), // replaced by the template: {lot, serial, runId}
// Entry point shared with the future agent camera.
async acquire(blob) {
if (!blob || this.busy) return;
const cfg = window.__visionCfg || {};
this.busy = true;
this.error = '';
this.result = null;
// Show the picked image at once: the overlay is drawn on top when the result arrives.
if (this.imageSrc) URL.revokeObjectURL(this.imageSrc);
this.imageSrc = URL.createObjectURL(blob);
try {
const c = this.ctx() || {};
const fd = new FormData();
fd.append('task_id', cfg.taskId);
fd.append('task_type', cfg.taskType || '');
fd.append('image', blob, blob.name || 'capture.jpg');
fd.append('lot_number', c.lot || '');
fd.append('serial_number', c.serial || '');
if (c.runId) fd.append('production_run_id', c.runId);
const csrf = document.querySelector('meta[name=csrf-token]')?.content || '';
const resp = await fetch(cfg.executeUrl, {
method: 'POST', headers: { 'X-CSRFToken': csrf }, body: fd,
});
const body = await resp.json().catch(() => ({}));
if (!resp.ok || body.error) {
this.error = body.detail || (cfg.labels && cfg.labels.requestFailed) || 'Error';
return;
}
this.result = body;
// Draw once Alpine has rendered the canvas.
this.$nextTick(() => this.drawOverlay());
} catch (e) {
this.error = (cfg.labels && cfg.labels.requestFailed) || 'Error';
} finally {
this.busy = false;
}
},
// Input change: take the file and allow picking the same one again.
onPick(ev) {
const f = ev.target.files && ev.target.files[0];
ev.target.value = '';
if (f) this.acquire(f);
},
// Image shown: the saved one from the server when available, else the local one.
get shownImage() {
const cfg = window.__visionCfg || {};
if (this.result && this.result.vision_result_id && cfg.imageUrlTpl) {
return cfg.imageUrlTpl.replace('/0/', '/' + this.result.vision_result_id + '/');
}
return this.imageSrc;
},
// Quote rows: server measurements joined with the subtask names.
get rows() {
const cfg = window.__visionCfg || {};
const subs = cfg.subtasks || [];
return ((this.result && this.result.measurements) || []).map((m) => {
const st = subs.find((s) => s.id === m.subtask_id) || {};
return {
label: (st.marker_number ? st.marker_number + '. ' : '') + (st.measurement_type || st.name || '#' + m.subtask_id),
value: m.value,
unit: st.unit || 'mm',
status: m.pass_fail,
};
});
},
statusClass(s) {
// Same palette as the measurement markers of the manual flow.
if (s === 'pass') return 'bg-measure-pass/20 text-measure-pass border border-measure-pass/40';
if (s === 'fail') return 'bg-red-100 dark:bg-red-900/30 text-measure-fail border border-measure-fail/40';
if (s === 'warning') return 'bg-amber-100 dark:bg-amber-900/30 text-measure-warning border border-measure-warning/40';
return 'bg-[var(--bg-secondary)] text-[var(--text-muted)] border border-[var(--border-color)]';
},
// Canvas is sized to the natural image, so overlay coordinates (image px)
// are used as they are and CSS scales the whole thing to the displayed size.
drawOverlay() {
const img = this.$refs.img, cv = this.$refs.overlay;
if (!img || !cv || !img.naturalWidth) return;
cv.width = img.naturalWidth;
cv.height = img.naturalHeight;
const g = cv.getContext('2d');
g.clearRect(0, 0, cv.width, cv.height);
g.lineWidth = Math.max(2, cv.width / 400);
g.lineJoin = 'round';
for (const item of ((this.result && this.result.overlay) || [])) {
const rows = item.rows || [], cols = item.cols || [];
if (!rows.length || rows.length !== cols.length) continue;
g.strokeStyle = ROLE_COLORS[item.role] || '#ef4444';
g.beginPath();
g.moveTo(cols[0], rows[0]);
for (let i = 1; i < rows.length; i++) g.lineTo(cols[i], rows[i]);
g.stroke();
}
},
};
}
@@ -191,7 +191,8 @@
{# ================================================================
MAIN — 3-column layout
================================================================ #}
<div class="flex-1 flex overflow-hidden">
{# #46: camera_measure / dxf_compare get the acquisition panel below instead of the manual layout #}
<div class="flex-1 flex overflow-hidden" x-show="!isVisionTask">
{# ──────────────────────────────────────────────
LEFT SIDEBAR — Marker list (vertical, hidden when no subtasks)
@@ -451,6 +452,63 @@
</div>
{# ================================================================
VISION PANEL (#46) - acquire an image, run the recipe server-side, show the
quotes and the overlay. acquire(blob) is the entry point the agent camera
(#3) will reuse.
================================================================ #}
<div x-show="isVisionTask" x-cloak
x-data="visionExecute()"
x-init="ctx = () => ({ lot: lotNumber, serial: serialNumber, runId: productionRun ? productionRun.id : null })"
class="flex-1 overflow-auto p-3 flex flex-col lg:flex-row gap-3">
<div class="flex-1 min-w-0 flex flex-col gap-2">
<div class="flex items-center gap-2 flex-wrap">
{# On a tablet this opens the camera; on a PC it picks a file. «Riprova» reuses the same input. #}
<label class="btn btn-primary text-sm gap-1.5 cursor-pointer" :class="busy ? 'opacity-50 pointer-events-none' : ''">
<span x-text="result ? '{{ _('Riprova') }}' : '{{ _('Acquisisci immagine') }}'"></span>
<input type="file" accept="image/*" capture="environment" class="hidden"
@change="onPick($event)" :disabled="busy">
</label>
<span x-show="busy" class="text-sm text-[var(--text-muted)]">{{ _('Elaborazione in corso...') }}</span>
</div>
<div x-show="error" class="p-2 rounded-lg bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 text-sm text-measure-fail" x-text="error"></div>
<div x-show="shownImage" class="relative border border-[var(--border-color)] rounded-lg overflow-hidden bg-black/5">
<img x-ref="img" :src="shownImage" @load="drawOverlay()" alt="" class="block w-full h-auto">
<canvas x-ref="overlay" class="absolute inset-0 w-full h-full pointer-events-none"></canvas>
</div>
<div x-show="!shownImage" class="text-sm text-[var(--text-muted)]">
{{ _('Nessuna immagine acquisita: premi «Acquisisci immagine».') }}
</div>
</div>
<div class="lg:w-80 shrink-0 flex flex-col gap-2" x-show="result">
<div class="text-sm font-bold text-[var(--text-primary)]">
{{ _('Esito') }}: <span x-text="(result && result.outcome) || '-'"></span>
</div>
<table class="w-full text-sm" x-show="rows.length">
<template x-for="r in rows" :key="r.label">
<tr>
<td class="py-1 pr-2 text-[var(--text-secondary)]" x-text="r.label"></td>
<td class="py-1 pr-2 font-mono text-right" x-text="Number(r.value).toFixed(3) + ' ' + r.unit"></td>
<td class="py-1"><span class="inline-block px-2 py-0.5 rounded text-xs font-bold" :class="statusClass(r.status)" x-text="r.status"></span></td>
</tr>
</template>
</table>
<div x-show="result && result.failures && result.failures.length"
class="p-2 rounded-lg bg-amber-50 dark:bg-amber-900/20 border border-amber-300 dark:border-amber-700 text-xs">
<div class="font-bold mb-1">{{ _('Strumenti falliti') }}</div>
<template x-for="f in ((result && result.failures) || [])" :key="f.tool_id">
<div><span class="font-mono" x-text="f.tool_name || f.tool_id"></span>: <span x-text="f.error"></span></div>
</template>
</div>
</div>
</div>
{# ================================================================
MEASUREMENT TIMER BANNER
================================================================ #}
@@ -912,6 +970,18 @@
<script src="{{ url_for('static', filename='js/numpad.js') }}"></script>
<script src="{{ url_for('static', filename='js/annotation-viewer.js') }}?v=6"></script>
<script src="{{ url_for('static', filename='js/caliper.js') }}"></script>
{# #46: acquisition + overlay for camera_measure / dxf_compare #}
<script>
window.__visionCfg = {
executeUrl: '{{ url_for("measure.api_vision_execute") }}',
imageUrlTpl: '{{ url_for("measure.api_vision_result_image", result_id=0) }}',
taskId: {{ task.id|tojson }},
taskType: {{ (task.task_type or '')|tojson }},
subtasks: window.__taskSubtasks,
labels: { requestFailed: {{ _('Richiesta non riuscita')|tojson }} },
};
</script>
<script src="{{ url_for('static', filename='js/vision_execute.js') }}"></script>
{# The clock's rules - how a delay reads, when the buzzer goes, where the
measurement lives - are shared with the other screens rather than restated. #}
<script src="{{ url_for('static', filename='js/production-clock.js') }}"></script>
@@ -1776,6 +1846,12 @@ function taskExecute() {
return declared === 'measure' || declared === 'camera_measure';
},
/* #46: image-based tasks run a VisionSuite recipe on the server. */
get isVisionTask() {
const t = this.task.task_type;
return t === 'camera_measure' || t === 'dxf_compare';
},
/* A measurement task with no quotes yet: the recipe is unfinished. Said out
loud rather than silently rendering an empty screen. */
get isMeasureTaskWithoutQuotes() {
@@ -0,0 +1,86 @@
"""gitea:Adriano/TieMeasureFlow#46 - operator side of the vision tasks.
The backend of contract B is not merged yet: api_client is mocked.
"""
import io
from unittest.mock import MagicMock, patch
from tests.conftest import api_get_router
TASK = {
"id": 12, "recipe_id": 3, "version_id": 5, "task_type": "camera_measure",
"title": "Foto", "directive": None, "description": None, "file_path": None,
"file_type": None, "annotations_json": None, "subtasks": [],
}
RECIPE = {
"id": 3, "code": "REC-1", "name": "Ricetta",
"measurement_interval_minutes": 30, "allow_manual_input": True,
"current_version": {"id": 5, "version_number": 1},
}
def test_execute_page_has_acquire_input(logged_in_client, mock_api_client, monkeypatch):
"""camera_measure screen offers the file/camera input and the acquire entry point."""
monkeypatch.setattr("blueprints.measure.Config.STATION_CODE", "ST-TEST")
mock_api_client.get_station_recipes.return_value = {"items": [{"id": 3}]}
mock_api_client.get.side_effect = api_get_router({
"/api/tasks/12": TASK,
"/api/recipes/3/tasks": [{"id": 12, "order_index": 0}],
"/api/recipes/3": RECIPE,
})
html = logged_in_client.get("/measure/execute/12").get_data(as_text=True)
assert 'capture="environment"' in html
assert 'accept="image/*"' in html
assert "visionExecute()" in html
assert "/measure/api/vision/execute" in html
def test_vision_execute_proxy_forwards_multipart(logged_in_client, mock_api_client):
mock_api_client.post.return_value = {
"vision_result_id": 7, "outcome": "ok", "overlay": [], "failures": [],
"measurements": [{"subtask_id": 1, "value": 9.9, "pass_fail": "pass"}],
}
resp = logged_in_client.post(
"/measure/api/vision/execute",
data={
"task_id": "12", "lot_number": "L1", "serial_number": "S1",
"production_run_id": "4",
"image": (io.BytesIO(b"\xff\xd8\xff fake"), "shot.jpg", "image/jpeg"),
},
content_type="multipart/form-data",
)
assert resp.status_code == 200
assert resp.get_json()["vision_result_id"] == 7
args, kwargs = mock_api_client.post.call_args
assert args[0] == "/api/vision/execute"
assert kwargs["data"]["task_id"] == "12"
assert kwargs["data"]["lot_number"] == "L1"
assert kwargs["data"]["production_run_id"] == "4"
name, content, mime = kwargs["files"]["image"]
assert name == "shot.jpg" and mime == "image/jpeg" and content.startswith(b"\xff\xd8")
def test_vision_execute_proxy_requires_image(logged_in_client, mock_api_client):
resp = logged_in_client.post("/measure/api/vision/execute", data={"task_id": "12"})
assert resp.status_code == 400
mock_api_client.post.assert_not_called()
def test_vision_execute_proxy_relays_backend_error(logged_in_client, mock_api_client):
mock_api_client.post.return_value = {"error": True, "status_code": 422, "detail": "bad"}
resp = logged_in_client.post(
"/measure/api/vision/execute",
data={"task_id": "12", "image": (io.BytesIO(b"x"), "a.jpg", "image/jpeg")},
content_type="multipart/form-data",
)
assert resp.status_code == 422
assert resp.get_json()["detail"] == "bad"
def test_vision_result_image_proxy(logged_in_client):
fake = MagicMock(status_code=200, content=b"IMG", headers={"content-type": "image/jpeg"})
with patch("blueprints.measure.http_requests.get", return_value=fake) as g:
resp = logged_in_client.get("/measure/api/vision/results/7/image")
assert resp.status_code == 200 and resp.data == b"IMG"
assert g.call_args[0][0].endswith("/api/vision/results/7/image")
assert g.call_args[1]["headers"]["X-API-Key"] == "test-api-key-12345"