[enh] don't fail on job error and display job as error

models.py

@@ -29,6 +29,7 @@ class Job(peewee.Model):
         ('runnning', 'Running'),
         ('done', 'Done'),
         ('failure', 'Failure'),
+        ('error', 'Error'),
         ('canceled', 'Canceled'),
     ), default="scheduled")
 

run.py

@@ -6,6 +6,7 @@ import argh
 import random
 import logging
 import asyncio
+import traceback
 import itertools
 
 from datetime import datetime, date
@@ -314,34 +315,46 @@ async def run_job(worker, job):
     cwd = os.path.split(path_to_analyseCI)[0]
     arguments = f' {job.url_or_path} "{job.name}"'
     task_logger.info(f"Launch command: /bin/bash " + path_to_analyseCI + arguments)
-    command = await asyncio.create_subprocess_shell("/bin/bash " + path_to_analyseCI + arguments,
-                                                    cwd=cwd,
-                                                    # default limit is not enough in some situations
-                                                    limit=(2 ** 16) ** 10,
-                                                    stdout=asyncio.subprocess.PIPE,
-                                                    stderr=asyncio.subprocess.PIPE)
+    try:
+        command = await asyncio.create_subprocess_shell("/bin/bash " + path_to_analyseCI + arguments,
+                                                        cwd=cwd,
+                                                        # default limit is not enough in some situations
+                                                        limit=(2 ** 16) ** 10,
+                                                        stdout=asyncio.subprocess.PIPE,
+                                                        stderr=asyncio.subprocess.PIPE)
 
-    while not command.stdout.at_eof():
-        data = await command.stdout.readline()
+        while not command.stdout.at_eof():
+            data = await command.stdout.readline()
 
-        job.log += data.decode()
-        # XXX seems to be okay performance wise but that's probably going to be
-        # a bottleneck at some point :/
-        # theoritically jobs are going to have slow output
+            job.log += data.decode()
+            # XXX seems to be okay performance wise but that's probably going to be
+            # a bottleneck at some point :/
+            # theoritically jobs are going to have slow output
+            job.save()
+
+            await broadcast({
+                "action": "update_job",
+                "id": job.id,
+                "data": model_to_dict(job),
+            }, ["jobs", f"job-{job.id}"])
+
+    except Exception as e:
+        traceback.print_exc()
+        task_logger.exception(f"ERROR in job '{job.name} #{job.id}'")
+
+        job.end_time = datetime.now()
+        job.state = "error"
         job.save()
 
-        await broadcast({
-            "action": "update_job",
-            "id": job.id,
-            "data": model_to_dict(job),
-        }, ["jobs", f"job-{job.id}"])
+        # XXX add mechanism to reschedule error jobs
 
-    task_logger.info(f"Finished job '{job.name}'")
+    else:
+        task_logger.info(f"Finished job '{job.name}'")
 
-    await command.wait()
-    job.end_time = datetime.now()
-    job.state = "done" if command.returncode == 0 else "failure"
-    job.save()
+        await command.wait()
+        job.end_time = datetime.now()
+        job.state = "done" if command.returncode == 0 else "failure"
+        job.save()
 
     # remove ourself from the state
     del jobs_in_memory_state[job.id]
@@ -384,7 +397,7 @@ async def ws_index(request, websocket):
 
     JobAlias = Job.alias()
     subquery = JobAlias.select()\
-                       .where(JobAlias.state << ("done", "failure", "canceled"))\
+                       .where(JobAlias.state << ("done", "failure", "canceled", "error"))\
                        .group_by(JobAlias.url_or_path)\
                        .select(fn.Max(JobAlias.id).alias("max_id"))
 
@@ -558,7 +571,7 @@ async def api_stop_job(request, job_id):
 
         return response.text("ok")
 
-    if job.state in ("done", "canceled", "failure"):
+    if job.state in ("done", "canceled", "failure", "error"):
         api_logger.info(f"Request to cancel job '{job.name}' [job.id] but job is already in '{job.state}' state, do nothing")
         # nothing to do, task is already done
         return response.text("ok")