Depending on apache_beam from a bazel project - apache-beam

I am creating a bazel python project which depends on apache_beam sdk. In the WORKSPACE file of my project, I have downloaded apache_beam zip file via http_archive.
Whenever I am trying to access apache_beam.testing sub-package in my project, I am getting an error
ModuleNotFoundError: No module named 'apache_beam.testing'
import apache_beam is working fine though.
WORKSPACE:
http_archive(
name = "apache_beam",
urls = ["https://github.com/apache/beam/archive/master.zip"],
strip_prefix = 'beam-master/sdks/python',
build_file = str(Label("//third_party:apache_beam.BUILD")),
)
apache_beam.BUILD:
py_library(
name = "apache_beam",
srcs = glob(["apache_beam/**/*.py"]),
visibility = ["//visibility:public"],
)
project's BUILD file:
py_test(
name = "project",
srcs = ["project.py"],
deps = [
"#apache_beam//:apache_beam",
],
project.py file:
from apache_beam.testing import util

In apache_beam.BUILD, you need to set the imports attribute:
py_library(
name = "apache_beam",
srcs = glob(["apache_beam/**/*.py"]),
visibility = ["//visibility:public"],
imports = "apache_beam",
)

Related

How to generate and include GRPC code in a packaged module

I need to generate python grpc code from protobuf files and include them as a packaged module for my project. This is my setup.py
from setuptools import setup, find_namespace_packages
import os
import sys
def generate_grpc():
from grpc_tools import protoc
import pkg_resources
inclusion_root = os.path.abspath("path-to-proto-files")
output_root = os.path.abspath("path-output")
proto_files = []
for root, _, files in os.walk(inclusion_root):
for filename in files:
if filename.endswith('.proto'):
proto_files.append(os.path.abspath(os.path.join(root,
filename)))
well_known_protos_include = pkg_resources.resource_filename(
'grpc_tools', '_proto')
for proto_file in proto_files:
command = [
'grpc_tools.protoc',
'--proto_path={}'.format(inclusion_root),
'--proto_path={}'.format(well_known_protos_include),
'--python_out={}'.format(output_root),
'--grpc_python_out={}'.format(output_root),
] + [proto_file]
if protoc.main(command) != 0:
sys.stderr.write('warning: {} failed'.format(command))
class BuildPyCommand(build_py):
def run(self):
generate_grpc()
build_py.run(self)
setup(cmdclass={
'build_py': BuildPyCommand,
},
setup_requires=[
'grpcio-tools',
],
package_dir={'': 'src'},
packages=find_namespace_packages(where='src')
)
I run this and see that the generated files are not copied to the build directory and as a result are not available when packaged.

VSCode problem retrieving Bazel build targets

I'm having trouble getting VSCode to load build targets for a Java project. The error message that I get is the following:
Command failed: bazel --output_base=/var/folders/cj/1fv063dx1772zbpnfpzvj_c00000gn/T/5b71fd39758e7fd8e710c281fbbdda92 query ...:* --output=package Loading: 0 packages loaded ERROR: error loading package 'bazel-test/external/rules_jvm_external': cannot load '//:private/versions.bzl': no such file Loading: 12 packages loaded currently loading: bazel-test/external/local_config_cc ... (6 packages) Loading: 12 packages loaded currently loading: bazel-test/external/local_config_cc ... (6 packages)
My WORKSPACE file is as follows:
load("#bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_archive(
name = "io_bazel_rules_docker",
sha256 = "4521794f0fba2e20f3bf15846ab5e01d5332e587e9ce81629c7f96c793bb7036",
strip_prefix = "rules_docker-0.14.4",
urls = ["https://github.com/bazelbuild/rules_docker/releases/download/v0.14.4/rules_docker-v0.14.4.tar.gz"],
)
load(
"#io_bazel_rules_docker//repositories:repositories.bzl",
container_repositories = "repositories",
)
container_repositories()
load("#io_bazel_rules_docker//repositories:deps.bzl", container_deps = "deps")
container_deps()
load("#io_bazel_rules_docker//repositories:pip_repositories.bzl", "pip_deps")
pip_deps()
load(
"#io_bazel_rules_docker//java:image.bzl",
_java_image_repos = "repositories",
)
_java_image_repos()
load(
"#io_bazel_rules_docker//container:container.bzl",
"container_pull",
)
container_pull(
name = "openjdk11_slim",
registry = "index.docker.io",
repository = "library/openjdk",
tag = "11-slim"
)
RULES_JVM_EXTERNAL_TAG = "3.3"
RULES_JVM_EXTERNAL_SHA = "d85951a92c0908c80bd8551002d66cb23c3434409c814179c0ff026b53544dab"
http_archive(
name = "rules_jvm_external",
strip_prefix = "rules_jvm_external-%s" % RULES_JVM_EXTERNAL_TAG,
sha256 = RULES_JVM_EXTERNAL_SHA,
url = "https://github.com/bazelbuild/rules_jvm_external/archive/%s.zip" % RULES_JVM_EXTERNAL_TAG,
)
load("#rules_jvm_external//:defs.bzl", "maven_install")
maven_install(
artifacts = [
# Accessed as dependency: #maven://io_vertx_vertx_core
"io.vertx:vertx-core:3.9.2",
# Accessed as dependency: #maven://io_vertx_vertx_web
"io.vertx:vertx-web:3.9.2",
# Accessed as dependency: #maven://io_vertx_vertx_rx_java2
"io.vertx:vertx-rx-java2:3.9.2",
],
repositories = [
"https://repo1.maven.org/maven2",
]
)
I don't see anything obviously wrong with my WORKSPACE file, so I'm tempted to assume the problem is with VSCode or in the BUILD files in one of my external dependencies. Other than that the project contains a single Hello.java and its accompanying java_binary rule. If I run myself the same query for all packages I get the following:
% bazel query ...:\* --output=package
src/main/java
Loading: 0 packages loaded
In other words, there's no error. Any ideas how I could try to debug or fix this? I just installed everything on the laptop, so the software versions are:
Bazel version: 3.5.0
VSCode versio: 1.48.2
Following the comment ignoring the convenience symlink solved it for me:
echo bazel-`basename ${PWD}` >> .bazelignore
I got around this issue by changing the Query Expression in Bazel extension Settings from
...:*
to
//< directory name >/...:*

How to import class from dll in chromium gn build

I have build a dll(syncDemo.dll,syncDemo.lib) which has class and functions.
I add syncDemo.lib into my chromium gn file.
libs = ["syncDemo.lib"]
After include .h head file, I can use the function in the .lib.
But when I use the class in the .lib like:
CSyncDemo* csd = new CSyncDemo();csd->TestDemo();
the complier fails with error: unknown type name 'csd'
Are there some build flag need to be change when import class from dll?
Below is the content of my gn file:
static_library("browser") {
"//build/config:precompiled_headers",
]
defines = [ "ZLIB_CONST" ]
...
sources = [
...
"sync_sdk_win/SyncDemo.h",
]
libs = [ "sync_sdk_win/syncDemo.lib" ]

compiles .py to .exe inluding it Classes

I have 4 .py files. Below is a list of files what is required to run the programme. Any of them missing will fail the programme to run.
How my code works:
) GUIss.py imports demonstrator.py
) Demonstrator.py imports filereader.py and process.py
) To run the programm I just need to click GUIss.py.
My cx-freeze code below:
from cx_Freeze import setup,Executable
import os
includefiles = ['filereader.py','demonstrator.py','logo.gif','thebrighterchoice.gif']
#bin_includes= ['process.py','demonstrator.py','filereader.py'] ..... 'bin_includes':bin_includesincludes = ['process']
includes = ['process','tkinter']
excludes = ['tkinter']
packages = ['os','xlrd']
setup(
name = "Process",
version = "0.1",
description = "description",
author = "Raitis Kupce",
options = {'build_exe' :{'excludes': excludes,'includes':includes,'packages':packages,'include_files':includefiles}},
executables = [Executable("GUIss.py")]
)
When I run compiled file I get an error message:
I then tried to write in setup.py (cx-freeze file)
excludes = ['tkinter']
Then includes = ['tkinter']
Afterwards packages = ['tkinter']
Despite numerous attempt, no luck, same message all the time.
P.S
My python source code can be downloaded from https://github.com/Dragnets/Administration
I did studied hours from here and here and modifying endless times but no luck.

How can I export Jira issues to BitBucket

Ive just moved my projects code from java.net to BitBucket. But my jira issue tracking is still hosted on java.net, although BitBucket does have some options for linking to an external issue tracker I don't think I can use it for java.net, not least because I do not have the admin priviledges need to install the DVCS connector.
So I thought an alternative option would be to export and then import the issues into BitBucket issue tracker, is that possible ?
Progress so far
So I tried following the steps in both informative answers using OSX below but I hit a problem - I'm rather confused about what the script would actually be called because in the answers it talks about export.py but no such script exists with that name so I renamed the one I downloaded.
sudo easy_install pip (OSX)
pip install jira
pip install configparser
easy_install -U setuptools
Go to https://bitbucket.org/reece/rcore, select downloads tab, download zip and unzip, and rename to reece ( for some reason git clone https://bitbucket.org/reece/rcore fails with error)
cd reece/rcore
Save script as export.py in rcore subfolder
Replace iteritems with items in import.py
Replace iteritems with types/immutabledict.py
Create .config in rcore folder
Create .config/jira-issues-move-to-bitbucket.conf containing
jira-username=paultaylor
jira-hostname=https://java.net/jira/browse/JAUDIOTAGGER
jira-password=password
Run python export.py --jira-project jaudiotagger
gives
macbook:rcore paul$ python export.py --jira-project jaudiotagger
Traceback (most recent call last):
File "export.py", line 24, in <module>
import configparser
ImportError: No module named configparser
- Run python export.py --jira-project jaudiotagger
I need to run pip insdtall as root so did
sudo pip install configparser
and that worked
but now
python export.py --jira.project jaudiotagger
gives
File "export.py" line 35, in <module?
from jira.client import JIRA
ImportError: No module named jira.client
You can import issues into BitBucket, they just need to be in the appropriate format. Fortunately, Reece Hart has already written a Python script to connect to a Jira instance and export the issues.
To get the script to run I had to install the Jira Python package as well as the latest version of rcore (if you use pip you get an incompatible previous version, so you have to get the source). I also had to replace all instances of iteritems with items in the script and in rcore/types/immutabledict.py to make it work with Python 3. You will also need to fill in the dictionaries (priority_map, person_map, etc) with the values your project uses. Finally, you need a config file to exist with the connection info (see comments at the top of the script).
The basic command line usage is export.py --jira-project <project>
Once you've got the data exported, see the instructions for importing issues to BitBucket
#!/usr/bin/env python
"""extract issues from JIRA and export to a bitbucket archive
See:
https://confluence.atlassian.com/pages/viewpage.action?pageId=330796872
https://confluence.atlassian.com/display/BITBUCKET/Mark+up+comments
https://bitbucket.org/tutorials/markdowndemo/overview
2014-04-12 08:26 Reece Hart <reecehart#gmail.com>
Requires a file ~/.config/jira-issues-move-to-bitbucket.conf
with content like
[default]
jira-username=some.user
jira-hostname=somewhere.jira.com
jira-password=ur$pass
"""
import argparse
import collections
import configparser
import glob
import itertools
import json
import logging
import os
import pprint
import re
import sys
import zipfile
from jira.client import JIRA
from rcore.types.immutabledict import ImmutableDict
priority_map = {
'Critical (P1)': 'critical',
'Major (P2)': 'major',
'Minor (P3)': 'minor',
'Nice (P4)': 'trivial',
}
person_map = {
'reece.hart': 'reece',
# etc
}
issuetype_map = {
'Improvement': 'enhancement',
'New Feature': 'enhancement',
'Bug': 'bug',
'Technical task': 'task',
'Task': 'task',
}
status_map = {
'Closed': 'resolved',
'Duplicate': 'duplicate',
'In Progress': 'open',
'Open': 'new',
'Reopened': 'open',
'Resolved': 'resolved',
}
def parse_args(argv):
def sep_and_flatten(l):
# split comma-sep elements and flatten list
# e.g., ['a','b','c,d'] -> set('a','b','c','d')
return list( itertools.chain.from_iterable(e.split(',') for e in l) )
cf = configparser.ConfigParser()
cf.readfp(open(os.path.expanduser('~/.config/jira-issues-move-to-bitbucket.conf'),'r'))
ap = argparse.ArgumentParser(
description = __doc__
)
ap.add_argument(
'--jira-hostname', '-H',
default = cf.get('default','jira-hostname',fallback=None),
help = 'host name of Jira instances (used for url like https://hostname/, e.g., "instancename.jira.com")',
)
ap.add_argument(
'--jira-username', '-u',
default = cf.get('default','jira-username',fallback=None),
)
ap.add_argument(
'--jira-password', '-p',
default = cf.get('default','jira-password',fallback=None),
)
ap.add_argument(
'--jira-project', '-j',
required = True,
help = 'project key (e.g., JRA)',
)
ap.add_argument(
'--jira-issues', '-i',
action = 'append',
default = [],
help = 'issue id (e.g., JRA-9); multiple and comma-separated okay; default = all in project',
)
ap.add_argument(
'--jira-issues-file', '-I',
help = 'file containing issue ids (e.g., JRA-9)'
)
ap.add_argument(
'--jira-components', '-c',
action = 'append',
default = [],
help = 'components criterion; multiple and comma-separated okay; default = all in project',
)
ap.add_argument(
'--existing', '-e',
action = 'store_true',
default = False,
help = 'read existing archive (from export) and merge new issues'
)
opts = ap.parse_args(argv)
opts.jira_components = sep_and_flatten(opts.jira_components)
opts.jira_issues = sep_and_flatten(opts.jira_issues)
return opts
def link(url,text=None):
return "[{text}]({url})".format(url=url,text=url if text is None else text)
def reformat_to_markdown(desc):
def _indent4(mo):
i = " "
return i + mo.group(1).replace("\n",i)
def _repl_mention(mo):
return "#" + person_map[mo.group(1)]
#desc = desc.replace("\r","")
desc = re.sub("{noformat}(.+?){noformat}",_indent4,desc,flags=re.DOTALL+re.MULTILINE)
desc = re.sub(opts.jira_project+r"-(\d+)",r"issue #\1",desc)
desc = re.sub(r"\[~([^]]+)\]",_repl_mention,desc)
return desc
def fetch_issues(opts,jcl):
jql = [ 'project = ' + opts.jira_project ]
if opts.jira_components:
jql += [ ' OR '.join([ 'component = '+c for c in opts.jira_components ]) ]
if opts.jira_issues:
jql += [ ' OR '.join([ 'issue = '+i for i in opts.jira_issues ]) ]
jql_str = ' AND '.join(["("+q+")" for q in jql])
logging.info('executing query ' + jql_str)
return jcl.search_issues(jql_str,maxResults=500)
def jira_issue_to_bb_issue(opts,jcl,ji):
"""convert a jira issue to a dictionary with values appropriate for
POSTing as a bitbucket issue"""
logger = logging.getLogger(__name__)
content = reformat_to_markdown(ji.fields.description) if ji.fields.description else ''
if ji.fields.assignee is None:
resp = None
else:
resp = person_map[ji.fields.assignee.name]
reporter = person_map[ji.fields.reporter.name]
jiw = jcl.watchers(ji.key)
watchers = [ person_map[u.name] for u in jiw.watchers ] if jiw else []
milestone = None
if ji.fields.fixVersions:
vnames = [ v.name for v in ji.fields.fixVersions ]
milestone = vnames[0]
if len(vnames) > 1:
logger.warn("{ji.key}: bitbucket issues may have only 1 milestone (JIRA fixVersion); using only first ({f}) and ignoring rest ({r})".format(
ji=ji, f=milestone, r=",".join(vnames[1:])))
issue_id = extract_issue_number(ji.key)
bbi = {
'status': status_map[ji.fields.status.name],
'priority': priority_map[ji.fields.priority.name],
'kind': issuetype_map[ji.fields.issuetype.name],
'content_updated_on': ji.fields.created,
'voters': [],
'title': ji.fields.summary,
'reporter': reporter,
'component': None,
'watchers': watchers,
'content': content,
'assignee': resp,
'created_on': ji.fields.created,
'version': None, # ?
'edited_on': None,
'milestone': milestone,
'updated_on': ji.fields.updated,
'id': issue_id,
}
return bbi
def jira_comment_to_bb_comment(opts,jcl,jc):
bbc = {
'content': reformat_to_markdown(jc.body),
'created_on': jc.created,
'id': int(jc.id),
'updated_on': jc.updated,
'user': person_map[jc.author.name],
}
return bbc
def extract_issue_number(jira_issue_key):
return int(jira_issue_key.split('-')[-1])
def jira_key_to_bb_issue_tag(jira_issue_key):
return 'issue #' + str(extract_issue_number(jira_issue_key))
def jira_link_text(jk):
return link("https://invitae.jira.com/browse/"+jk,jk) + " (Invitae access required)"
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
opts = parse_args(sys.argv[1:])
dir_name = opts.jira_project
if opts.jira_components:
dir_name += '-' + ','.join(opts.jira_components)
if opts.jira_issues_file:
issues = [i.strip() for i in open(opts.jira_issues_file,'r')]
logger.info("added {n} issues from {opts.jira_issues_file} to issues list".format(n=len(issues),opts=opts))
opts.jira_issues += issues
opts.dir = os.path.join('/','tmp',dir_name)
opts.att_rel_dir = 'attachments'
opts.att_abs_dir = os.path.join(opts.dir,opts.att_rel_dir)
opts.json_fn = os.path.join(opts.dir,'db-1.0.json')
if not os.path.isdir(opts.att_abs_dir):
os.makedirs(opts.att_abs_dir)
opts.jira_issues = list(set(opts.jira_issues)) # distinctify
jcl = JIRA({'server': 'https://{opts.jira_hostname}/'.format(opts=opts)},
basic_auth=(opts.jira_username,opts.jira_password))
if opts.existing:
issues_db = json.load(open(opts.json_fn,'r'))
existing_ids = [ i['id'] for i in issues_db['issues'] ]
logger.info("read {n} issues from {fn}".format(n=len(existing_ids),fn=opts.json_fn))
else:
issues_db = dict()
issues_db['meta'] = {
'default_milestone': None,
'default_assignee': None,
'default_kind': "bug",
'default_component': None,
'default_version': None,
}
issues_db['attachments'] = []
issues_db['comments'] = []
issues_db['issues'] = []
issues_db['logs'] = []
issues_db['components'] = [ {'name':v.name} for v in jcl.project_components(opts.jira_project) ]
issues_db['milestones'] = [ {'name':v.name} for v in jcl.project_versions(opts.jira_project) ]
issues_db['versions'] = issues_db['milestones']
# bb_issue_map: bb issue # -> bitbucket issue
bb_issue_map = ImmutableDict( (i['id'],i) for i in issues_db['issues'] )
# jk_issue_map: jira key -> bitbucket issue
# contains only items migrated from JIRA (i.e., not preexisting issues with --existing)
jk_issue_map = ImmutableDict()
# issue_links is a dict of dicts of lists, using JIRA keys
# e.g., links['CORE-135']['depends on'] = ['CORE-137']
issue_links = collections.defaultdict(lambda: collections.defaultdict(lambda: []))
issues = fetch_issues(opts,jcl)
logger.info("fetch {n} issues from JIRA".format(n=len(issues)))
for ji in issues:
# Pfft. Need to fetch the issue again due to bug in JIRA.
# See https://bitbucket.org/bspeakmon/jira-python/issue/47/, comment on 2013-10-01 by ssonic
ji = jcl.issue(ji.key,expand="attachments,comments")
# create the issue
bbi = jira_issue_to_bb_issue(opts,jcl,ji)
issues_db['issues'] += [bbi]
bb_issue_map[bbi['id']] = bbi
jk_issue_map[ji.key] = bbi
issue_links[ji.key]['imported from'] = [jira_link_text(ji.key)]
# add comments
for jc in ji.fields.comment.comments:
bbc = jira_comment_to_bb_comment(opts,jcl,jc)
bbc['issue'] = bbi['id']
issues_db['comments'] += [bbc]
# add attachments
for ja in ji.fields.attachment:
att_rel_path = os.path.join(opts.att_rel_dir,ja.id)
att_abs_path = os.path.join(opts.att_abs_dir,ja.id)
if not os.path.exists(att_abs_path):
open(att_abs_path,'w').write(ja.get())
logger.info("Wrote {att_abs_path}".format(att_abs_path=att_abs_path))
bba = {
"path": att_rel_path,
"issue": bbi['id'],
"user": person_map[ja.author.name],
"filename": ja.filename,
}
issues_db['attachments'] += [bba]
# parent-child is task-subtask
if hasattr(ji.fields,'parent'):
issue_links[ji.fields.parent.key]['subtasks'].append(jira_key_to_bb_issue_tag(ji.key))
issue_links[ji.key]['parent task'].append(jira_key_to_bb_issue_tag(ji.fields.parent.key))
# add links
for il in ji.fields.issuelinks:
if hasattr(il,'outwardIssue'):
issue_links[ji.key][il.type.outward].append(jira_key_to_bb_issue_tag(il.outwardIssue.key))
elif hasattr(il,'inwardIssue'):
issue_links[ji.key][il.type.inward].append(jira_key_to_bb_issue_tag(il.inwardIssue.key))
logger.info("migrated issue {ji.key}: {ji.fields.summary} ({components})".format(
ji=ji,components=','.join(c.name for c in ji.fields.components)))
# append links section to content
# this section shows both task-subtask and "issue link" relationships
for src,dstlinks in issue_links.iteritems():
if src not in jk_issue_map:
logger.warn("issue {src}, with issue_links, not in jk_issue_map; skipping".format(src=src))
continue
links_block = "Links\n=====\n"
for desc,dsts in sorted(dstlinks.iteritems()):
links_block += "* **{desc}**: {links} \n".format(desc=desc,links=", ".join(dsts))
if jk_issue_map[src]['content']:
jk_issue_map[src]['content'] += "\n\n" + links_block
else:
jk_issue_map[src]['content'] = links_block
id_counts = collections.Counter(i['id'] for i in issues_db['issues'])
dupes = [ k for k,cnt in id_counts.iteritems() if cnt>1 ]
if dupes:
raise RuntimeError("{n} issue ids appear more than once from existing {opts.json_fn}".format(
n=len(dupes),opts=opts))
json.dump(issues_db,open(opts.json_fn,'w'))
logger.info("wrote {n} issues to {opts.json_fn}".format(n=len(id_counts),opts=opts))
# write zipfile
os.chdir(opts.dir)
with zipfile.ZipFile(opts.dir + '.zip','w') as zf:
for fn in ['db-1.0.json']+glob.glob('attachments/*'):
zf.write(fn)
logger.info("added {fn} to archive".format(fn=fn))
NOTE: I'm writing a new answer because writing this in a comment would be horrible, but most of the credit goes to #Turch's answer.
My steps (in OSX and Debian machines, both worked fine):
apt-get install python-pip (Debian) or sudo easy_install pip (OSX)
pip install jira
pip install configparser
easy_install -U setuptools (not sure if really needed)
Download or clone the source code from https://bitbucket.org/reece/rcore/ in your home folder, for example. Note: don't download using pip, it will get the 0.0.2 version and you need the 0.0.3.
Download the Python script created by Reece, mentioned by #Turch, and place it inside of the rcore folder.
Follow the instructions by #Turch: I also had to replace all instances of iteritems with items in the script and in rcore/types/immutabledict.py to make it work with Python 3. You will also need to fill in the dictionaries (priority_map, person_map, etc) with the values your project uses. Finally, you need a config file to exist with the connection info (see comments at the top of the script). Note: I used hostname like jira.domain.com (no http or https).
(This change did the trick for me) I had to change part of the line 250 from 'https://{opts.jira_hostname}/' to 'http://{opts.jira_hostname}/'
To finish, run the script like #Turch mentioned: The basic command line usage is export.py --jira-project <project>
The file was placed in /tmp/.zip for me.
The file was perfectly accepted in the BitBucket importer today.
Hooray for Reece and Turch! Thanks guys!