def work():
progress_message = vts.targets[0].address.spec
cp_entries = self._compute_classpath_entries(compile_classpaths,
target_closure,
compile_context,
extra_compile_time_classpath)
upstream_analysis = dict(self._upstream_analysis(compile_contexts, cp_entries))
tmpdir = os.path.join(self.analysis_tmpdir, vts.targets[0].id)
safe_mkdir(tmpdir)
tmp_analysis_file = JvmCompileStrategy._analysis_for_target(
tmpdir, compile_context.target)
if os.path.exists(compile_context.analysis_file):
shutil.copy(compile_context.analysis_file, tmp_analysis_file)
compile_vts(vts,
compile_context.sources,
tmp_analysis_file,
upstream_analysis,
cp_entries,
compile_context.classes_dir,
progress_message)
atomic_copy(tmp_analysis_file, compile_context.analysis_file)
# Update the products with the latest classes.
register_vts([compile_context])
# Kick off the background artifact cache write.
if update_artifact_cache_vts_work:
self._write_to_artifact_cache(vts, compile_context, update_artifact_cache_vts_work)
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
return self.CompileContext(target,
analysis_file,
classes_dir,
self._sources_for_target(target))
def work():
progress_message = compile_context.target.address.spec
cp_entries = self._compute_classpath_entries(
compile_classpaths, target_closure, compile_context,
extra_compile_time_classpath)
upstream_analysis = dict(
self._upstream_analysis(compile_contexts, cp_entries))
# Capture a compilation log if requested.
log_file = self._capture_log_file(compile_context.target)
# Mutate analysis within a temporary directory, and move it to the final location
# on success.
tmpdir = os.path.join(self.analysis_tmpdir,
compile_context.target.id)
safe_mkdir(tmpdir)
tmp_analysis_file = JvmCompileStrategy._analysis_for_target(
tmpdir, compile_context.target)
if os.path.exists(compile_context.analysis_file):
shutil.copy(compile_context.analysis_file,
tmp_analysis_file)
compile_vts(vts, compile_context.sources, tmp_analysis_file,
upstream_analysis, cp_entries,
compile_context.classes_dir, log_file,
progress_message)
atomic_copy(tmp_analysis_file, compile_context.analysis_file)
# Update the products with the latest classes.
register_vts([compile_context])
# Kick off the background artifact cache write.
if update_artifact_cache_vts_work:
self._write_to_artifact_cache(
vts, compile_context, update_artifact_cache_vts_work)
def post_process_cached_vts(self, cached_vts):
"""Special post processing for global scala analysis files.
Class files are retrieved directly into their final locations in the global classes dir.
"""
self._ensure_analysis_tmpdir()
# Get all the targets whose artifacts we found in the cache.
cached_targets = []
for vt in cached_vts:
for target in vt.targets:
cached_targets.append(target)
# The current global analysis may contain old data for modified targets for
# which we got cache hits. We need to strip out this old analysis, to ensure
# that the new data incoming from the cache doesn't collide with it during the merge.
sources_to_strip = []
if os.path.exists(self._analysis_file):
for target in cached_targets:
sources_to_strip.extend(self._get_previous_sources_by_target(target))
# Localize the cached analyses.
analyses_to_merge = []
for target in cached_targets:
analysis_file = JvmCompileStrategy._analysis_for_target(self._analysis_tmpdir, target)
portable_analysis_file = JvmCompileStrategy._portable_analysis_for_target(self._analysis_tmpdir,
target)
if os.path.exists(portable_analysis_file):
self._analysis_tools.localize(portable_analysis_file, analysis_file)
if os.path.exists(analysis_file):
analyses_to_merge.append(analysis_file)
# Merge them into the global analysis.
if analyses_to_merge:
with temporary_dir() as tmpdir:
if sources_to_strip:
throwaway = os.path.join(tmpdir, 'throwaway')
trimmed_analysis = os.path.join(tmpdir, 'trimmed')
self._analysis_tools.split_to_paths(self._analysis_file,
[(sources_to_strip, throwaway)],
trimmed_analysis)
else:
trimmed_analysis = self._analysis_file
if os.path.exists(trimmed_analysis):
analyses_to_merge.append(trimmed_analysis)
tmp_analysis = os.path.join(tmpdir, 'analysis')
with self.context.new_workunit(name='merge_analysis'):
self._analysis_tools.merge_from_paths(analyses_to_merge, tmp_analysis)
sources_by_cached_target = self._sources_for_targets(cached_targets)
# Record the cached target -> sources mapping for future use.
for target, sources in sources_by_cached_target.items():
self._record_previous_sources_by_target(target, sources)
# Everything's good so move the merged analysis to its final location.
if os.path.exists(tmp_analysis):
self.move(tmp_analysis, self._analysis_file)
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(
self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
# TODO: this will be a fairly long path. should use an id hash to shorten it if possible
jar_file = os.path.join(self._jars_dir, target.id + '.jar')
return IsolatedCompileContext(target, analysis_file,
classes_dir, jar_file,
self._sources_for_target(target))
def post_process_cached_vts(self, cached_vts):
"""Special post processing for global scala analysis files.
Class files are retrieved directly into their final locations in the global classes dir.
"""
# Get all the targets whose artifacts we found in the cache.
cached_targets = []
for vt in cached_vts:
for target in vt.targets:
cached_targets.append(target)
# The current global analysis may contain old data for modified targets for
# which we got cache hits. We need to strip out this old analysis, to ensure
# that the new data incoming from the cache doesn't collide with it during the merge.
sources_to_strip = []
if os.path.exists(self._analysis_file):
for target in cached_targets:
sources_to_strip.extend(self._get_previous_sources_by_target(target))
# Localize the cached analyses.
analyses_to_merge = []
for target in cached_targets:
analysis_file = JvmCompileStrategy._analysis_for_target(self.analysis_tmpdir, target)
portable_analysis_file = JvmCompileStrategy._portable_analysis_for_target(
self.analysis_tmpdir, target)
if os.path.exists(portable_analysis_file):
self._analysis_tools.localize(portable_analysis_file, analysis_file)
if os.path.exists(analysis_file):
analyses_to_merge.append(analysis_file)
# Merge them into the global analysis.
if analyses_to_merge:
with temporary_dir() as tmpdir:
if sources_to_strip:
throwaway = os.path.join(tmpdir, 'throwaway')
trimmed_analysis = os.path.join(tmpdir, 'trimmed')
self._analysis_tools.split_to_paths(self._analysis_file,
[(sources_to_strip, throwaway)],
trimmed_analysis)
else:
trimmed_analysis = self._analysis_file
if os.path.exists(trimmed_analysis):
analyses_to_merge.append(trimmed_analysis)
tmp_analysis = os.path.join(tmpdir, 'analysis')
with self.context.new_workunit(name='merge_analysis'):
self._analysis_tools.merge_from_paths(analyses_to_merge, tmp_analysis)
sources_by_cached_target = self._sources_for_targets(cached_targets)
# Record the cached target -> sources mapping for future use.
for target, sources in sources_by_cached_target.items():
self._record_previous_sources_by_target(target, sources)
# Everything's good so move the merged analysis to its final location.
if os.path.exists(tmp_analysis):
self.move(tmp_analysis, self._analysis_file)
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
# TODO: this will be a fairly long path. should use an id hash to shorten it if possible
jar_file = os.path.join(self._jars_dir, target.id + '.jar')
return IsolatedCompileContext(target,
analysis_file,
classes_dir,
jar_file,
self._sources_for_target(target))
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(
self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
# Generate a short unique path for the jar to allow for shorter classpaths.
# TODO: likely unnecessary after https://github.com/pantsbuild/pants/issues/1988
jar_file = os.path.join(
self._jars_dir, '{}.jar'.format(sha1(target.id).hexdigest()[:12]))
return IsolatedCompileContext(target, analysis_file,
classes_dir, jar_file,
self._sources_for_target(target))
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
# Generate a short unique path for the jar to allow for shorter classpaths.
# TODO: likely unnecessary after https://github.com/pantsbuild/pants/issues/1988
jar_file = os.path.join(self._jars_dir, '{}.jar'.format(sha1(target.id).hexdigest()[:12]))
return IsolatedCompileContext(target,
analysis_file,
classes_dir,
jar_file,
self._sources_for_target(target))
def _write_to_artifact_cache(self, analysis_file, vts, get_update_artifact_cache_work):
vt_by_target = dict([(vt.target, vt) for vt in vts.versioned_targets])
vts_targets = [t for t in vts.targets if not t.has_label('no_cache')]
# Determine locations for analysis files that will be split in the background.
split_analysis_files = [
JvmCompileStrategy._analysis_for_target(self.analysis_tmpdir, t) for t in vts_targets]
portable_split_analysis_files = [
JvmCompileStrategy._portable_analysis_for_target(self.analysis_tmpdir, t) for t in vts_targets]
# Set up args for splitting the analysis into per-target files.
splits = zip([self._sources_for_target(t) for t in vts_targets], split_analysis_files)
splits_args_tuples = [(analysis_file, splits)]
# Set up args for rebasing the splits.
relativize_args_tuples = zip(split_analysis_files, portable_split_analysis_files)
# Compute the classes and resources for each vts.
compile_contexts = [self.compile_context(t) for t in vts_targets]
vts_artifactfiles_pairs = []
classes_by_source_by_context = self.compute_classes_by_source(compile_contexts)
resources_by_target = self.context.products.get_data('resources_by_target')
for compile_context in compile_contexts:
target = compile_context.target
if target.has_label('no_cache'):
continue
artifacts = []
if resources_by_target is not None:
for _, paths in resources_by_target[target].abs_paths():
artifacts.extend(paths)
classes_by_source = classes_by_source_by_context[compile_context]
for source in compile_context.sources:
classes = classes_by_source.get(source, [])
artifacts.extend(classes)
vt = vt_by_target.get(target)
if vt is not None:
# NOTE: analysis_file doesn't exist yet.
vts_artifactfiles_pairs.append(
(vt, artifacts + [JvmCompileStrategy._portable_analysis_for_target(
self.analysis_tmpdir, target)]))
update_artifact_cache_work = get_update_artifact_cache_work(vts_artifactfiles_pairs)
if update_artifact_cache_work:
work_chain = [
Work(self._analysis_tools.split_to_paths, splits_args_tuples, 'split'),
Work(self._analysis_tools.relativize, relativize_args_tuples, 'relativize'),
update_artifact_cache_work
]
self.context.submit_background_work_chain(work_chain, parent_workunit_name='cache')
def _write_to_artifact_cache(self, analysis_file, vts, get_update_artifact_cache_work):
vt_by_target = dict([(vt.target, vt) for vt in vts.versioned_targets])
vts_targets = [t for t in vts.targets if not t.has_label('no_cache')]
# Determine locations for analysis files that will be split in the background.
split_analysis_files = [
JvmCompileStrategy._analysis_for_target(self.analysis_tmpdir, t) for t in vts_targets]
portable_split_analysis_files = [
JvmCompileStrategy._portable_analysis_for_target(self.analysis_tmpdir, t) for t in vts_targets]
# Set up args for splitting the analysis into per-target files.
splits = zip([self._sources_for_target(t) for t in vts_targets], split_analysis_files)
splits_args_tuples = [(analysis_file, splits)]
# Set up args for rebasing the splits.
relativize_args_tuples = zip(split_analysis_files, portable_split_analysis_files)
# Compute the classes and resources for each vts.
compile_contexts = [self.compile_context(t) for t in vts_targets]
vts_artifactfiles_pairs = []
classes_by_source_by_context = self.compute_classes_by_source(compile_contexts)
resources_by_target = self.context.products.get_data('resources_by_target')
for compile_context in compile_contexts:
target = compile_context.target
if target.has_label('no_cache'):
continue
artifacts = []
if resources_by_target is not None:
for _, paths in resources_by_target[target].abs_paths():
artifacts.extend(paths)
classes_by_source = classes_by_source_by_context[compile_context]
for source in compile_context.sources:
classes = classes_by_source.get(source, [])
artifacts.extend(classes)
vt = vt_by_target.get(target)
if vt is not None:
# NOTE: analysis_file doesn't exist yet.
vts_artifactfiles_pairs.append(
(vt, artifacts + [JvmCompileStrategy._portable_analysis_for_target(
self.analysis_tmpdir, target)]))
update_artifact_cache_work = get_update_artifact_cache_work(vts_artifactfiles_pairs)
if update_artifact_cache_work:
work_chain = [
Work(self._analysis_tools.split_to_paths, splits_args_tuples, 'split'),
Work(self._analysis_tools.relativize, relativize_args_tuples, 'relativize'),
update_artifact_cache_work
]
self.context.submit_background_work_chain(work_chain, parent_workunit_name='cache')
def work_for_vts(vts, compile_context, target_closure):
progress_message = compile_context.target.address.spec
cp_entries = self._compute_classpath_entries(compile_classpaths,
target_closure,
compile_context,
extra_compile_time_classpath)
upstream_analysis = dict(self._upstream_analysis(compile_contexts, cp_entries))
# Capture a compilation log if requested.
log_file = self._capture_log_file(compile_context.target)
# Double check the cache before beginning compilation
if not check_cache(vts):
# Mutate analysis within a temporary directory, and move it to the final location
# on success.
tmpdir = os.path.join(self.analysis_tmpdir, compile_context.target.id)
safe_mkdir(tmpdir)
tmp_analysis_file = JvmCompileStrategy._analysis_for_target(
tmpdir, compile_context.target)
if os.path.exists(compile_context.analysis_file):
shutil.copy(compile_context.analysis_file, tmp_analysis_file)
target, = vts.targets
compile_vts(vts,
compile_context.sources,
tmp_analysis_file,
upstream_analysis,
cp_entries,
compile_context.classes_dir,
log_file,
progress_message,
target.platform)
atomic_copy(tmp_analysis_file, compile_context.analysis_file)
# Jar the compiled output.
self._create_context_jar(compile_context)
# Update the products with the latest classes.
register_vts([compile_context])
# Kick off the background artifact cache write.
if update_artifact_cache_vts_work:
self._write_to_artifact_cache(vts, compile_context, update_artifact_cache_vts_work)
def compile_context(self, target):
analysis_file = JvmCompileStrategy._analysis_for_target(
self._analysis_dir, target)
classes_dir = os.path.join(self._classes_dir, target.id)
return self.CompileContext(target, analysis_file, classes_dir,
self._sources_for_target(target))
