def crud_milestones():
data = request.get_json()
project_id = data['project']
try:
project = Project.query.filter(Project.id == project_id).one()
except:
return f'ERROR: Project not found', 404
milestones = project.data.get('milestones', {})
if request.method == 'GET':
return jsonify(milestones)
# The body for HTTP DELETE requests can be dropped by proxies (eg uwsgi, nginx...)
# so it's simpler to reuse the POST method...
if request.method=='DELETE' or data.get('delete') in ['true', True]:
del milestones[data['key']]
else:
milestones[data['key']] = data['milestone']
project.data['milestones'] = milestones
flag_modified(project, "data")
db_session.add(project)
db_session.commit()
print(f"UPDATE: Milestones {project_id}: {project.data['milestones']}")
return jsonify(project.data['milestones'])
def commit_save_artifacts():
hexsha = request.json.get('hexsha')
try:
ci_commits = (db_session
.query(CiCommit)
.filter(
CiCommit.hexsha == hexsha,
)
)
except:
return f"404 ERROR:\n ({request.json['project']}): There is an issue with your commit id ({hexsha})", 404
for ci_commit in ci_commits.all():
if not request.json['project'].startswith(ci_commit.project_id):
print(f'skip {ci_commit.project_id}')
continue
print(f"[save-artifacts] {ci_commit}")
# FIXME: in the clean crontab we remove commits without runs
# if we rely on artifacts from a subproject without runs, it will cause issues...
# we should use the git info to find the qatools.yaml
ci_commit.save_artifacts()
ci_commit.deleted = False
db_session.add(ci_commit)
db_session.commit()
return 'OK'
def update_batch():
data = request.get_json()
try:
ci_commit = CiCommit.get_or_create(
session=db_session,
hexsha=request.json['git_commit_sha'],
project_id=request.json['project'],
)
except:
return f"404 ERROR:\n ({request.json['project']}): There is an issue with your commit id ({request.json['git_commit_sha']})", 404
batch = ci_commit.get_or_create_batch(data['batch_label'])
if not batch.data:
batch.data = {}
batch_data = request.json.get('data', {})
batch.data = {**batch.data, **batch_data}
command = request.json.get('command')
if command:
batch.data["commands"] = {**batch.data.get('commands', {}), **command}
flag_modified(batch, "data")
is_best = 'best_iter' in batch_data and batch_data[
'best_iter'] != batch.data.get('best_iter')
if is_best:
# remove all non-optim_iteration results from the batch
batch.outputs = [
o for o in batch.outputs if o.output_type == 'optim_iteration'
]
db_session.add(batch)
db_session.commit()
# make copy of all outputs in the best batch
best_batch = ci_commit.get_or_create_batch(
f"{data['batch_label']}|iter{batch_data.get('best_iter')}")
for o in best_batch.outputs:
o_copy = o.copy()
o_copy.output_dir_override = str(o.output_dir)
o_copy.batch = batch
db_session.add(o_copy)
db_session.add(batch)
db_session.commit()
return jsonify({"status": "OK"})
def start_tuning(hexsha):
"""
Request that we run extra tests for a given project.
"""
project_id = request.args["project"]
data = request.get_json()
try:
ci_commit = CiCommit.query.filter(
CiCommit.project_id == project_id,
CiCommit.hexsha.startswith(hexsha)
).one()
except NoResultFound:
return jsonify("Sorry, the commit id was not found"), 404
if "qatools_config" not in ci_commit.project.data:
return jsonify("Please create `qaboard.yaml`"), 404
ci_commit.latest_output_datetime = datetime.datetime.now()
ci_commit.latest_output_datetime = datetime.datetime.now()
batch = ci_commit.get_or_create_batch(data['batch_label'])
db_session.add(ci_commit)
db_session.commit()
if ci_commit.deleted:
# Now that we updated the last_output_datetime, it won't be deleted again until a little while
return jsonify("Artifacts for this commit were deleted! Re-run your CI pipeline, or `git checkout / build / qa --ci save-artifacts`"), 404
batches_paths = [*get_commit_batches_paths(ci_commit.project, hexsha), get_groups_path(project_id)]
# We store in this directory the scripts used to run this new batch, as well as the logs
# We may instead want to use the folder where this batch's results are stored
# Or even store the metadata in the database itself...
prev_mask = os.umask(000)
if not batch.batch_dir.exists():
batch.batch_dir.mkdir(exist_ok=True, parents=True)
os.umask(prev_mask)
working_directory = ci_commit.artifacts_dir
print(working_directory)
# This will make us do automated tuning, versus a single manual batch
do_optimize = data['tuning_search']['search_type'] == 'optimize'
if do_optimize:
# we write somewhere the optimzation search configuration
# it needs to be accessed from LSF so we can't use temporary files...
config_path = batch.batch_dir / 'optim-config.yaml'
config_option = f"--config-file '{config_path}'"
with config_path.open("w") as f:
f.write(data['tuning_search']['parameter_search'])
else:
config_option = f"--tuning-search '{json.dumps(data['tuning_search'])}'"
overwrite = "--action-on-existing run" if data["overwrite"] in ("on", True) else "--action-on-existing sync"
batch_command = " ".join([
"qa",
f"--platform '{data['platform']}'" if "platform" in data else "",
f"--label '{data['batch_label']}'",
"optimize" if do_optimize else "batch",
' '.join([f'--batches-file "{p}"' for p in batches_paths]),
f"--batch '{data['selected_group']}'",
# f"--runner=local", # uncomment if testing from Samsung SIRC where LSF is the default
config_option,
f"{overwrite} --no-wait" if not do_optimize else '',
])
print(batch_command)
# To avoid issues with quoting, we write a script to run the batch,
# and execute it with bsub/LSF
# We could also play with heredocs-within-heredocs, but it is painful, and this way we get logs
# openstf is our Android device farm
use_openstf = data["android_device"].lower() == "openstf"
parent_including_cwd = [*list(reversed(list(working_directory.parents))), working_directory]
envrcs = [f'source "{p}/.envrc"\n' for p in parent_including_cwd if (p / '.envrc').exists()]
qa_batch_script = "\n".join([
"#!/bin/bash",
# qa uses click, which hates non-utf8 locales
'export LC_ALL=C.UTF-8',
'export LANG=C.UTF-8',
"",
# Avoid common DISPLAY issues with matplotlib, since we're headless here
'export MPLBACKEND=agg',
# Load all .envrc files relevant for the (sub)project
('\n'.join(envrcs) + '\n') if envrcs else "",
"set -xe",
f'cd "{working_directory}"',
"",
"",
# Make sure QA-Board doesn't complain about not being in a git repository and knows where to save results
f"export CI=true",
f"export QABOARD_TUNING=true",
f"export GIT_COMMIt='{ci_commit.hexsha}'",
# Make sure QA-Board doesn't complain about not being in a git repository and knows where to save results
f"export QA_OUTPUTS_COMMIT='{ci_commit.commit_dir}'",
"",
batch_command,
"",
])
print(qa_batch_script)
qa_batch_path = batch.batch_dir / f"qa_batch.sh"
with qa_batch_path.open("w") as f:
f.write(qa_batch_script)
batch.output_dir.mkdir(parents=True, exist_ok=True)
cmd = ['bash', '-c', f'"{qa_batch_path}" &> "{batch.batch_dir}/log.txt"']
print(cmd)
try:
out = subprocess.run(cmd, encoding='utf-8')
out.check_returncode()
except:
return jsonify({"error": str(out.stdout), "cmd": str(cmd)}), 500
return jsonify({"cmd": str(cmd), "stdout": str(out.stdout)})
def api_ci_commit(commit_id=None):
# TODO: clean...
if request.method == 'POST':
try:
commit = CiCommit.get_or_create(
session=db_session,
hexsha=request.json['git_commit_sha']
if not commit_id else commit_id,
project_id=request.json['project'],
)
except:
return f"404 ERROR:\n ({request.json['project']}): There is an issue with your commit id ({request.json['git_commit_sha']})", 404
if not commit.data:
commit.data = {}
commit_data = request.json.get('data', {})
commit.data = {**commit.data, **commit_data}
flag_modified(commit, "data")
if commit.deleted:
commit.deleted = False
db_session.add(commit)
db_session.commit()
return jsonify({"status": "OK"})
project_id = request.args['project']
if not commit_id:
commit_id = request.args.get('commit', None)
if not commit_id:
try:
project = Project.query.filter(Project.id == project_id).one()
default_branch = project.data['qatools_config']['project'][
'reference_branch']
except:
default_branch = 'master'
branch = request.args.get('branch', default_branch)
ci_commit = latest_successful_commit(
db_session,
project_id=project_id,
branch=branch,
batch_label=request.args.get('batch'))
if not ci_commit:
return jsonify({
'error':
f'Sorry, we cant find any commit with results for this project on {branch}.'
}), 404
else:
try: # we try a commit from git
ci_commit = (db_session.query(CiCommit).options(
joinedload(CiCommit.batches).joinedload(Batch.outputs)).filter(
CiCommit.project_id == project_id,
CiCommit.hexsha.startswith(commit_id),
).one())
except MultipleResultsFound:
print(
f'!!!!!!!!!!!!! Multiple results for commit {commit_id} @{project_id}'
)
ci_commit = (db_session.query(CiCommit).options(
joinedload(CiCommit.batches).joinedload(Batch.outputs)).filter(
CiCommit.project_id == project_id,
CiCommit.hexsha.startswith(commit_id),
).first())
except NoResultFound:
try:
project = Project.query.filter(Project.id == project_id).one()
commit = project.repo.tags[commit_id].commit
try:
commit = project.repo.commit(commit_id)
except:
try:
commit = project.repo.refs[commit_id].commit
except:
commit = project.repo.tags[commit_id].commit
ci_commit = CiCommit(commit, project=project)
db_session.add(ci_commit)
db_session.commit()
except:
return jsonify({
'error':
'Sorry, we could not find the commit in the cloned git repo.'
}), 404
except BadName:
return jsonify({
f'error':
'Sorry, we could not understand the commid ID {commid_id}.'
}), 404
except Exception as e:
raise (e)
return jsonify({'error': 'Sorry, the request failed.'}), 500
# FIXME: we should add details about the outputs...
# FIXME: how do we get the reference commit?
batch = request.args.get('batch', None)
with_batches = [batch] if batch else None # by default we show all batches
with_aggregation = json.loads(request.args.get('metrics', '{}'))
response = make_response(
ujson.dumps(
ci_commit.to_dict(with_aggregation,
with_batches=with_batches,
with_outputs=True)))
response.headers['Content-Type'] = 'application/json'
return response
def start_tuning(hexsha):
"""
Request that we run extra tests for a given project.
"""
project_id = request.args["project"]
data = request.get_json()
try:
ci_commit = CiCommit.query.filter(
CiCommit.project_id == project_id,
CiCommit.hexsha.startswith(hexsha)
).one()
except NoResultFound:
return jsonify("Sorry, the commit id was not found"), 404
if "qatools_config" not in ci_commit.project.data:
return jsonify("Please create `qaboard.yaml`"), 404
ci_commit.latest_output_datetime = datetime.datetime.now()
ci_commit.latest_output_datetime = datetime.datetime.now()
batch = ci_commit.get_or_create_batch(data['batch_label'])
db_session.add(ci_commit)
db_session.commit()
if ci_commit.deleted:
# Now that we updated the last_output_datetime, it won't be deleted again until a little while
return jsonify("Artifacts for this commit were deleted! Re-run your CI pipeline, or `git checkout / build / qa --ci save-artifacts`"), 404
batches_paths = [*get_commit_batches_paths(ci_commit.project, hexsha), get_groups_path(project_id)]
# We store in this directory the scripts used to run this new batch, as well as the logs
# We may instead want to use the folder where this batch's results are stored
# Or even store the metadata in the database itself...
prev_mask = os.umask(000)
if not batch.output_dir.exists():
batch.output_dir.mkdir(exist_ok=True, parents=True)
os.umask(prev_mask)
working_directory = ci_commit.commit_dir
print(working_directory)
# This will make us do automated tuning, versus a single manual batch
do_optimize = data['tuning_search']['search_type'] == 'optimize'
if do_optimize:
# we write somewhere the optimzation search configuration
# it needs to be accessed from LSF so we can't use temporary files...
config_path = batch.output_dir / 'optim-config.yaml'
config_option = f"--config-file '{config_path}'"
with config_path.open("w") as f:
f.write(data['tuning_search']['parameter_search'])
else:
config_option = f"--tuning-search '{json.dumps(data['tuning_search'])}'"
overwrite = "--action-on-existing run" if data["overwrite"] == "on" else "--action-on-existing sync"
# FIXME: cd relative to main project
batch_command = " ".join(
[
"qa",
f"--platform '{data['platform']}'" if "platform" in data else "",
f"--label '{data['batch_label']}'",
"optimize" if do_optimize else "batch",
' '.join([f'--batches-file "{p}"' for p in batches_paths]),
f"--batch '{data['selected_group']}'",
config_option,
f"{overwrite} --no-wait" if not do_optimize else '',
"\n",
]
)
# print(batch_command)
# To avoid issues with quoting, we write a script to run the batch,
# and execute it with bsub/LSF
# We could also play with heredocs-within-heredocs, but it is painful, and this way we get logs
# openstf is our Android device farm
use_openstf = data["android_device"].lower() == "openstf"
parent_including_cwd = [*list(reversed(list(working_directory.parents))), working_directory]
envrcs = [f'source "{p}/.envrc"\n' for p in parent_including_cwd if (p / '.envrc').exists()]
qa_batch_script = "".join(
[
"#!/bin/bash\n",
"set -xe\n\n",
f'cd "{working_directory}";\n\n',
('\n'.join(envrcs) + '\n') if envrcs else "",
# qa uses click, which hates non-utf8 locales
'export LC_ALL=en_US.utf8;\n',
'export LANG=en_US.utf8;\n\n',
# we avoid DISPLAY issues with matplotlib, since we're headless here
'export MPLBACKEND=agg;\n',
f"export RESERVED_ANDROID_DEVICE='{data['android_device']}';\n" if not use_openstf else "",
# https://unix.stackexchange.com/questions/115129/why-does-root-not-have-usr-local-in-path
# Those options are specific to android
f"export RESERVED_ANDROID_DEVICE='{data['android_device']}';\n" if not use_openstf else "",
f"export OPENSTF_STORAGE_QUOTA=12;\n" if not use_openstf else "",
# Make sure qatools doesn't complain about not being in a git repository and knows where to save results
f"\nexport CI=true;\n",
f"export CI_COMMIT_SHA='{ci_commit.hexsha}';\n",
f"export QA_CI_CI_COMMIT_DIR='{ci_commit.commit_dir}';\n\n",
batch_command,
]
)
print(qa_batch_script)
qa_batch_path = batch.output_dir / f"qa_batch.sh"
with qa_batch_path.open("w") as f:
f.write(qa_batch_script)
qatools_config = ci_commit.project.data["qatools_config"]
lsf_config = qatools_config.get('runners', qatools_config).get("lsf", {})
default_user = lsf_config.get('user')
user = data.get('user', default_user)
if not user:
return jsonify("You must provide a user as whom to run the tuning experiment."), 403
queue = lsf_config.get("fast_queue", lsf_config['queue'])
start_script = "".join(
[
"#!/bin/bash\n",
"set -xe\n\n",
f'mkdir -p "{batch.output_dir}"\n',
f'bsub_su "{user}" -q "{queue}" ',
'-sp 4000 ', # highest priority for manual runs
## LSF refuses to give us long-running jobs....
## '-W 24:00 ' if do_optimize else '-sp 4000 ', # highest priority for manual runs
f'-o "{batch.output_dir}/log.txt" << "EOF"\n',
f'\tssh -o StrictHostKeyChecking=no -q {user}@{user}-vdi \'bash "{qa_batch_path}"\'',
'\nEOF'
]
)
print(start_script)
start_path = batch.output_dir / f"start.sh"
with start_path.open("w") as f:
f.write(start_script)
# Wraps and execute the script that starts the batch
cmd = " ".join(
[
# there is only C.utf8 on our container, but it is not available on LSF
"LC_ALL=en_US.utf8 LANG=en_US.utf8",
"ssh",
# quiet to avoid the welcome banner
"-q",
# ask, and force a TTY, otherwise bsub->su will complain
"-tt",
# make sure we OK the server key during the first-connection
"-o StrictHostKeyChecking=no",
# ispq is the only user that can use bsub_su, an alias for sudo -i -u {0} {1:}.
"-i /home/arthurf/.ssh/ispq.id_rsa",
"ispq@ispq-vdi",
f'\'bash "{start_path}"\'',
]
)
print(cmd)
try:
out = subprocess.run(cmd, shell=True, encoding="utf-8", stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
out.check_returncode()
print(out.stdout)
except:
return jsonify({"error": str(out.stdout), "cmd": str(cmd)}), 500
return jsonify({"cmd": str(cmd), "stdout": str(out.stdout)})
def new_output_webhook():
"""Updates the database when we get new results."""
data = request.get_json()
# We get a handle on the Commit object related to our new output
try:
ci_commit = CiCommit.get_or_create(
session=db_session,
hexsha=data['git_commit_sha'],
project_id=data['project'],
)
except:
return jsonify({
"error":
f"Could not find your commit ({data['git_commit_sha']})."
}), 404
ci_commit.project.latest_output_datetime = datetime.datetime.utcnow()
ci_commit.latest_output_datetime = datetime.datetime.utcnow()
# We make sure the Test on which we ran exists in the database
test_input_path = data.get('input_path')
if not test_input_path:
return jsonify({"error": "the input path was not provided"}, 400)
test_input = TestInput.get_or_create(
db_session,
path=test_input_path,
database=data.get('database', ci_commit.project.database),
)
# We save the basic information about our result
batch = ci_commit.get_or_create_batch(data['batch_label'])
if not batch.data:
batch.data = {}
batch.data.update({"type": data['job_type']})
if data.get('input_metadata'):
test_input.data['metadata'] = data['input_metadata']
flag_modified(test_input, "data")
platform = data['platform']
# if platform == 'lsf':
# platform = 'linux'
# elif platform == 'windows':
# platform = 'win32'
configurations = deserialize_config(
data['configuration']
) if 'configuration' in data else data['configurations']
output = Output.get_or_create(
db_session,
batch=batch,
platform=platform,
configurations=configurations,
extra_parameters=data['extra_parameters'],
test_input=test_input,
)
output.output_type = data.get('input_type', '')
output.data = data.get('data', {})
# we can only trust CI outputs to run on the exact code from the commit
output.data["ci"] = data['job_type'] == 'ci'
if output.deleted:
output.deleted = False
# We allow users to save their data in custom locations
# at the commit and output levels
if Path(data.get('commit_ci_dir', ci_commit.commit_dir)).resolve() != Path(
ci_commit.commit_dir):
ci_commit.commit_dir_override = data.get('commit_ci_dir')
if Path(data.get('output_directory',
output.output_dir)) != output.output_dir:
output.output_dir_override = data.get('output_directory')
# We update the output's status
output.is_running = data.get('is_running', False)
if output.is_running:
output.is_pending = True
else:
output.is_pending = data.get('is_pending', False)
# We save the output's metrics
if not output.is_pending:
metrics = data.get('metrics', {})
output.metrics = metrics
output.is_failed = data.get('is_failed',
False) or metrics.get('is_failed')
db_session.add(output)
db_session.commit()
return jsonify(output.to_dict())
def save():
username = "******"
user_id = 0
if g.user.is_authenticated:
username = g.user.username
user_id = g.user.id
if user_id == 0 and not app.config['ALLOW_UNAUTHENTICATED_USER_SAVE_LOAD']:
return make_response(jsonify({'errors': True, 'msg': 'Unauthenticated user'}), 401)
try:
data = json.loads(request.data)
except ValueError:
return make_response(jsonify({'errors': True, 'msg': 'No posted data or posted data not readable'}), 400)
# Create object in db
session_id = request.args.get('sid', None)
if not is_valid_uuid(session_id):
session_id = None # Session id comes from demo session, we create new version with new id
if session_id is not None:
instance = Session.query.filter_by(id=session_id).first()
if not instance:
return make_response(jsonify({'errors': True, 'msg': 'Session not found'}), 400)
# If user is not the same as the one that created the session, add a new id and update
# existing user id (this will effectively create a new session object)
if user_id != instance.user_id:
session_id = str(uuid.uuid4())
instance.id = session_id
instance.user_id = user_id
else:
# Should create a new session
session_id = str(uuid.uuid4())
instance = Session(id=session_id, user_id=user_id)
instance.created = datetime.datetime.utcnow()
data['session']['author'] = username
if data['session']['name']:
session_name = data['session']['name']
else:
n_existing_sessions = Session.query.filter_by(user_id=user_id).count()
session_name = 'Untitled session #%i' % (n_existing_sessions + 1)
data['session']['name'] = session_name
instance.name = session_name
instance.last_modified = datetime.datetime.utcnow()
db_session.add(instance)
db_session.commit()
file_dir = '%s/%i' % (app.config['SESSIONS_FOLDER_PATH'], user_id)
file_path = '%s/%s.json' % (file_dir, session_id)
if os.path.exists(file_path):
file_contents = json.load(open(file_path, 'r'))
else:
file_contents = {
'id': session_id,
'username': username,
'data': [],
'created': datetime.datetime.now().isoformat(),
}
file_contents['lastModified'] = datetime.datetime.now().isoformat()
file_contents['data'] = data
# Save session file
if not os.path.exists(file_dir):
os.mkdir(file_dir)
json.dump(file_contents, open(file_path, 'w'), indent=4)
return make_response(jsonify(
{'errors': False, 'sessionName': session_name, 'sessionID': session_id }), 200)
def update_batch():
data = request.get_json()
try:
ci_commit = CiCommit.get_or_create(
session=db_session,
hexsha=request.json['git_commit_sha'],
project_id=request.json['project'],
data=data,
)
except:
return f"404 ERROR:\n ({request.json['project']}): There is an issue with your commit id ({request.json['git_commit_sha']})", 404
batch = ci_commit.get_or_create_batch(data['batch_label'])
# prefix_output_dir for backward-compatibility
batch.batch_dir_override = data.get("batch_dir",
data.get("prefix_output_dir"))
# Clients can store any metadata in each batch.
# Currently it's used by `qa optimize` to store info on iterations
if not batch.data:
batch.data = {}
batch_data = request.json.get('data', {})
# And each batch can have changes vs its commit's config and metrics.
# The use case is usually working locally with `qa --share` and
# seeing updated visualizations and metrics.
if "qaboard_config" in data and data["qaboard_config"] != ci_commit.data[
"qatools_config"]:
batch.data["config"] = data["qaboard_config"]
if "qaboard_metrics" in data and data["qaboard_metrics"] != ci_commit.data[
"qatools_metrics"]:
batch.data["qatools_metrics"] = data["qaboard_metrics"]
batch.data = {**batch.data, **batch_data}
# Save info on each "qa batch" command in the batch, mainly to list them in logs
command = request.json.get('command')
if command:
batch.data["commands"] = {**batch.data.get('commands', {}), **command}
flag_modified(batch, "data")
# It's a `qa optimzize` experiment
if batch_data.get('optimization'):
if 'best_iter' in batch_data:
# we will save the outputs from the best iteration in the batch,
# so first we need to remove any previous best results
for o in batch.outputs:
if o.output_type != 'optim_iteration':
o.delete(soft=False)
db_session.add(batch)
db_session.commit()
# Move results from the best iteration in this batch
batch_batch_label = batch_data['last_iteration_label']
best_batch = ci_commit.get_or_create_batch(batch_batch_label)
for o in best_batch.outputs:
o.output_dir_override = str(o.output_dir)
o.batch = batch
db_session.add(o)
db_session.commit()
for b in ci_commit.batches:
if b.label.startswith(
f"{data['batch_label']}|iter"
) and b.label != batch_data['last_iteration_label']:
print(f'Deleting previous iteration {b.label}')
if b.label != batch_data['last_iteration_label']:
db_session.delete(b)
db_session.add(batch)
db_session.commit()
return jsonify({"status": "OK", "id": batch.id})
def new_output_webhook():
"""Updates the database when we get new results."""
data = request.get_json()
hexsha = data.get('commit_sha', data['git_commit_sha'])
# We get a handle on the Commit object related to our new output
try:
ci_commit = CiCommit.get_or_create(
session=db_session,
hexsha=hexsha,
project_id=data['project'],
data=data,
)
except Exception as e:
return jsonify({
"error":
f"Could not find your commit ({data['git_commit_sha']}). {e}"
}), 404
ci_commit.project.latest_output_datetime = datetime.datetime.utcnow()
ci_commit.latest_output_datetime = datetime.datetime.utcnow()
# We make sure the Test on which we ran exists in the database
test_input_path = data.get('rel_input_path', data.get('input_path'))
if not test_input_path:
return jsonify({"error": "the input path was not provided"}), 400
test_input = TestInput.get_or_create(
db_session,
path=test_input_path,
database=data['database'],
)
# We save the basic information about our result
batch = ci_commit.get_or_create_batch(data['batch_label'])
if not batch.data:
batch.data = {}
batch.data.update({"type": data['job_type']})
if data.get('input_metadata'):
test_input.data['metadata'] = data['input_metadata']
flag_modified(test_input, "data")
platform = data['platform']
# for backward-compat with old clients
if platform == 'lsf':
platform = 'linux'
configurations = deserialize_config(
data['configuration']
) if 'configuration' in data else data['configurations']
output = Output.get_or_create(
db_session,
batch=batch,
platform=platform,
configurations=configurations,
extra_parameters=data['extra_parameters'],
test_input=test_input,
)
output.output_type = data.get('input_type', '')
output.data = data.get('data', {})
# we can only trust CI outputs to run on the exact code from the commit
output.data["ci"] = data['job_type'] == 'ci'
if output.deleted:
output.deleted = False
# prefix_output_dir for backward-compatibility
ci_commit.commit_dir_override = data.get('artifacts_commit',
data.get('commit_ci_dir'))
output.output_dir_override = data['output_directory']
# We update the output's status
output.is_running = data.get('is_running', False)
if output.is_running:
output.is_pending = True
else:
output.is_pending = data.get('is_pending', False)
# We save the output's metrics
if not output.is_pending:
metrics = data.get('metrics', {})
output.metrics = metrics
output.is_failed = data.get('is_failed',
False) or metrics.get('is_failed')
db_session.add(ci_commit)
db_session.add(output)
db_session.commit()
return jsonify(output.to_dict())
def api_ci_commit(commit_id=None):
if request.method == 'POST':
hexsha = request.json.get('commit_sha', request.json['git_commit_sha']) if not commit_id else commit_id
try:
commit = CiCommit.get_or_create(
session=db_session,
hexsha=hexsha,
project_id=request.json['project'],
data=request.json,
)
except:
return f"404 ERROR:\n ({request.json['project']}): There is an issue with your commit id ({request.json['git_commit_sha']})", 404
if not commit.data:
commit.data = {}
# Clients can store any metadata with each commit.
# We've been using it to store code quality metrics per subproject in our monorepo,
# Then we use other tools (e.g. metabase) to create dashboards.
commit_data = request.json.get('data', {})
commit.data = {**commit.data, **commit_data}
flag_modified(commit, "data")
if commit.deleted:
commit.deleted = False
db_session.add(commit)
db_session.commit()
return jsonify({"status": "OK"})
project_id = request.args['project']
if not commit_id:
commit_id = request.args.get('commit', None)
try:
project = Project.query.filter(Project.id==project_id).one()
default_branch = project.data['qatools_config']['project']['reference_branch']
except:
default_branch = 'master'
branch = request.args.get('branch', default_branch)
ci_commit = latest_successful_commit(db_session, project_id=project_id, branch=branch, batch_label=request.args.get('batch'))
if not ci_commit:
return jsonify({'error': f'Sorry, we cant find any commit with results for the {project_id} on {branch}.'}), 404
else:
try:
ci_commit = (db_session
.query(CiCommit)
.options(
joinedload(CiCommit.batches).
joinedload(Batch.outputs)
)
.filter(
CiCommit.project_id==project_id,
CiCommit.hexsha.startswith(commit_id),
)
.one()
)
except NoResultFound:
try:
# TODO: This is a valid use case for having read-rights to the repo,
# we can identify a commit by the tag/branch
# To replace this without read rights, we should listen for push events and build a database
project = Project.query.filter(Project.id==project_id).one()
commit = project.repo.tags[commit_id].commit
try:
commit = project.repo.commit(commit_id)
except:
try:
commit = project.repo.refs[commit_id].commit
except:
commit = project.repo.tags[commit_id].commit
ci_commit = CiCommit(commit, project=project)
db_session.add(ci_commit)
db_session.commit()
except:
return jsonify({'error': f'Sorry, we could not find any data on commit {commit_id} in project {project_id}.'}), 404
except BadName:
return jsonify({f'error': f'Sorry, we could not understand the commid ID {commit_id} for project {project_id}.'}), 404
except Exception as e:
raise(e)
return jsonify({'error': 'Sorry, the request failed.'}), 500
batch = request.args.get('batch', None)
with_batches = [batch] if batch else None # by default we show all batches
with_aggregation = json.loads(request.args.get('metrics', '{}'))
response = make_response(ujson.dumps(ci_commit.to_dict(with_aggregation, with_batches=with_batches, with_outputs=True)))
response.headers['Content-Type'] = 'application/json'
return response