I am working on a Python project and recently started using poetry. I was originally working on the project using macOS 11.0, but as I near completion, I wanted to test it on a Linux workstation. I use Github for my repository, and so, I am able to clone the repo easily. However, that is where the simple part ends. I have used both pyenv and conda for the virtual environment on macOS, but when I clone the repo onto the workstation, I set up an environment and then try the following command:
poetry shell
poetry install
I receive the following error after poetry install:
ParseVersionError
Unable to parse "at20RC5+54.g5702a232fe.dirty".
at ~/.poetry/lib/poetry/_vendor/py3.8/poetry/core/semver/version.py:211 in parse
207│ except TypeError:
208│ match = None
209│
210│ if match is None:
→ 211│ raise ParseVersionError('Unable to parse "{}".'.format(text))
212│
213│ text = text.rstrip(".")
214│
215│ major = int(match.group(1))
I have tried poetry lock with the same result, and I have even deleted poetry.lock and attempted poetry lock with no success.
I intend to build and publish it when all is said and done, but because I eventually want to add features that my Mac does not have (e.g., CUDA), I want to code on the workstation as well.
Any help will be appreciated.
Update -- 03/27/21
pyproject.toml
[tool.poetry]
name = "qaa"
version = "0.1.0"
description = "Quasi-Anharmonic Analysis"
authors = ["Timothy H. Click <tclick#okstate.edu>"]
license = "BSD-3-Clause"
readme = "README.rst"
homepage = "https://github.com/tclick/qaa"
repository = "https://github.com/tclick/qaa"
documentation = "https://qaa.readthedocs.io"
classifiers = [
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
]
[tool.poetry.urls]
Changelog = "https://github.com/tclick/qaa/releases"
[tool.poetry.dependencies]
python = "^3.8"
click = "^7.0"
numpy = "^1.20.1"
scipy = "^1.6.1"
matplotlib = "^3.3.4"
seaborn = "^0.11.1"
scikit-learn = "^0.24.1"
pandas = "^1.2.3"
netCDF4 = "^1.5.6"
mdtraj = "^1.9.5"
[tool.poetry.dev-dependencies]
pytest = "^6.2.2"
pytest-cache = "^1.0"
pytest-click = "^1.0.2"
pytest-console-scripts = "^1.1.0"
pytest-cov = "^2.11.1"
pytest-flake8 = "^1.0.7"
pytest-mock = "^3.5.1"
pytest-pep8 = "^1.0.6"
pytest-randomly = "^3.5.0"
coverage = {extras = ["toml"], version = "^5.3"}
safety = "^1.9.0"
mypy = "^0.812"
typeguard = "^2.9.1"
xdoctest = {extras = ["colors"], version = "^0.15.0"}
sphinx = "^3.3.1"
sphinx-autobuild = "^2020.9.1"
pre-commit = "^2.8.2"
flake8 = "^3.8.4"
black = "^20.8b1"
flake8-bandit = "^2.1.2"
flake8-bugbear = "^21.3.2"
flake8-docstrings = "^1.5.0"
flake8-rst-docstrings = "^0.0.14"
pep8-naming = "^0.11.1"
darglint = "^1.5.5"
reorder-python-imports = "^2.3.6"
pre-commit-hooks = "^3.3.0"
sphinx-rtd-theme = "^0.5.0"
sphinx-click = "^2.5.0"
Pygments = "^2.7.2"
ipython = "^7.21.0"
isort = "^5.7.0"
towncrier = "^19.2.0"
nox = "^2020.12.31"
pytest-coverage = "^0.0"
nox-poetry = "^0.8.4"
numpydoc = "^1.1.0"
codecov = "^2.1.11"
flake8-black = "^0.2.1"
flake8-import-order = "^0.18.1"
[tool.poetry.scripts]
qaa = "qaa.__main__:main"
update -- 03/29/21
This is the error received when running poetry lock -vvv
Using virtualenv: /home/tclick/.cache/pypoetry/virtualenvs/qaa-VNW0yB_S-py3.8
Stack trace:
10 ~/.poetry/lib/poetry/_vendor/py3.8/clikit/console_application.py:131 in run
129│ parsed_args = resolved_command.args
130│
→ 131│ status_code = command.handle(parsed_args, io)
132│ except KeyboardInterrupt:
133│ status_code = 1
9 ~/.poetry/lib/poetry/_vendor/py3.8/clikit/api/command/command.py:120 in handle
118│ def handle(self, args, io): # type: (Args, IO) -> int
119│ try:
→ 120│ status_code = self._do_handle(args, io)
121│ except KeyboardInterrupt:
122│ if io.is_debug():
8 ~/.poetry/lib/poetry/_vendor/py3.8/clikit/api/command/command.py:163 in _do_handle
161│ if self._dispatcher and self._dispatcher.has_listeners(PRE_HANDLE):
162│ event = PreHandleEvent(args, io, self)
→ 163│ self._dispatcher.dispatch(PRE_HANDLE, event)
164│
165│ if event.is_handled():
7 ~/.poetry/lib/poetry/_vendor/py3.8/clikit/api/event/event_dispatcher.py:22 in dispatch
20│
21│ if listeners:
→ 22│ self._do_dispatch(listeners, event_name, event)
23│
24│ return event
6 ~/.poetry/lib/poetry/_vendor/py3.8/clikit/api/event/event_dispatcher.py:89 in _do_dispatch
87│ break
88│
→ 89│ listener(event, event_name, self)
90│
91│ def _sort_listeners(self, event_name): # type: (str) -> None
5 ~/.poetry/lib/poetry/console/config/application_config.py:141 in set_installer
139│
140│ poetry = command.poetry
→ 141│ installer = Installer(
142│ event.io,
143│ command.env,
4 ~/.poetry/lib/poetry/installation/installer.py:65 in __init__
63│ self._installer = self._get_installer()
64│ if installed is None:
→ 65│ installed = self._get_installed()
66│
67│ self._installed_repository = installed
3 ~/.poetry/lib/poetry/installation/installer.py:561 in _get_installed
559│
560│ def _get_installed(self): # type: () -> InstalledRepository
→ 561│ return InstalledRepository.load(self._env)
562│
2 ~/.poetry/lib/poetry/repositories/installed_repository.py:118 in load
116│ path = Path(str(distribution._path))
117│ version = distribution.metadata["version"]
→ 118│ package = Package(name, version, version)
119│ package.description = distribution.metadata.get("summary", "")
120│
1 ~/.poetry/lib/poetry/_vendor/py3.8/poetry/core/packages/package.py:61 in __init__
59│
60│ if not isinstance(version, Version):
→ 61│ self._version = Version.parse(version)
62│ self._pretty_version = pretty_version or version
63│ else:
ParseVersionError
Unable to parse "at20RC5+54.g5702a232fe.dirty".
at ~/.poetry/lib/poetry/_vendor/py3.8/poetry/core/semver/version.py:206 in parse
202│ except TypeError:
203│ match = None
204│
205│ if match is None:
→ 206│ raise ParseVersionError('Unable to parse "{}".'.format(text))
207│
208│ text = text.rstrip(".")
209│
210│ major = int(match.group(1))
I think you should NOT run poetry shell first. It's used only when poetry project and its dependencies are installed.
poetry install should work nice in the project directory with pyproject.toml
Possible help:
ensure that poetry installed and path to poetry executable in PATH
environment variable;
check that python 3.8+ is installed (from your dependencies). If
you use pyenv check that path to this version is available for
terminal.
I need to import different ipynb files, so I tried this:
https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Importing%20Notebooks.html
But I get no module named 'mynotebook' found. (I even tried it with other notebooks names, which definitely exist, but still not working)
Do you have any ideas about what I could do?
import io, os, sys, types
from IPython import get_ipython
from nbformat import read
from IPython.core.interactiveshell import InteractiveShell
def find_notebook(fullname, path=None):
name = fullname.rsplit('.', 1)[-1]
if not path:
path = ['']
for d in path:
nb_path = os.path.join(d, name + ".ipynb")
if os.path.isfile(nb_path):
return nb_path
# let import Notebook_Name find "Notebook Name.ipynb"
nb_path = nb_path.replace("_", " ")
if os.path.isfile(nb_path):
return nb_path
class NotebookLoader(object):
def __init__(self, path=None):
self.shell = InteractiveShell.instance()
self.path = path
def load_module(self, fullname):
"""import a notebook as a module"""
path = find_notebook(fullname, self.path)
print ("importing Jupyter notebook from %s" % path)
# load the notebook object
with io.open(path, 'r', encoding='utf-8') as f:
nb = read(f, 4)
# create the module and add it to sys.modules
# if name in sys.modules:
# return sys.modules[name]
mod = types.ModuleType(fullname)
mod.__file__ = path
mod.__loader__ = self
mod.__dict__['get_ipython'] = get_ipython
sys.modules[fullname] = mod
# extra work to ensure that magics that would affect the user_ns
# actually affect the notebook module's ns
save_user_ns = self.shell.user_ns
self.shell.user_ns = mod.__dict__
try:
for cell in nb.cells:
if cell.cell_type == 'code':
# transform the input to executable Python
code = self.shell.input_transformer_manager.transform_cell(cell.source)
# run the code in themodule
exec(code, mod.__dict__)
finally:
self.shell.user_ns = save_user_ns
return mod
class NotebookFinder(object):
def __init__(self):
self.loaders = {}
def find_module(self, fullname, path=None):
nb_path = find_notebook(fullname, path)
if not nb_path:
return
key = path
if path:
# lists aren't hashable
key = os.path.sep.join(path)
if key not in self.loaders:
self.loaders[key] = NotebookLoader(path)
return self.loaders[key]
sys.meta_path.append(NotebookFinder())
import mynotebook
I just want to import the code of another jupyter file
WOW, i also face this problem. I create a new env and after open jupyter, it can't find nbformat in my new installed env, so just:
pip install nbformat
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!
I'm new to web app and I want to check when there's a new version of dota map, I'll check links in getdota.com.
How can I do this and which language, I want it checks every time you start warcraft, and auto download new map to specific folder.
My question is : Can you give a link to a specific article about web automation or something like that.
Thanks first :)
Below is an example in Python.
It parses getdota.com page, reads parameters for POST request for downloading a map, gets the file and saves it in configured directory (by default current directory).
#!/usr/bin/env python
import urllib
import urllib2
import sgmllib
from pprint import pprint
import os.path
import sys
url = 'http://www.getdota.com/'
download_url = 'http://www.getdota.com/app/getmap/'
chunk = 10000
directory = '' #directory where file should be saved, if empty uses current dir
class DotaParser(sgmllib.SGMLParser):
def parse(self, s):
self.feed(s)
self.close()
def __init__(self, verbose=0):
sgmllib.SGMLParser.__init__(self, verbose)
self.URL = ''
self.post_args = {}
def getArgs(self):
return self.post_args
def start_input(self, attributes):
d = dict(attributes)
if d.get('id', None) == None:
return
if d['id'] in ["input_mirror2", "input_file_name2", "input_map_id2", "input_language2", "input_language_id2"]:
self.post_args[d['name']] = d['value']
if __name__ == '__main__':
dotap = DotaParser()
data = urllib2.urlopen(urllib2.Request('http://www.getdota.com/')).read()
dotap.parse(data)
data = urllib.urlencode(dotap.getArgs())
request = urllib2.Request(download_url, data)
response = urllib2.urlopen(request)
page = response.read()
#download file
fname = directory + page.split('/')[-1]
if os.path.isfile(fname):
print "No newer file available"
sys.exit(0)
f = open(fname, 'w')
print "New file available. Saving in: %s" % fname
webFile = urllib.urlopen(page)
c = webFile.read(chunk)
while(c):
f.write(c)
c = webFile.read(chunk)
f.close()
webFile.close()