Exemplo n.º 1
0
def _markdown(checklist):
    """
    Generate markdown for checklist
    """

    checklist = json.load(open(checklist), object_pairs_hook=OrderedDict)

    mdFile = MdUtils(file_name='Ikigai-Checklist', title='PDP 2019 Checklist')

    mdFile.new_paragraph(checklist['overview'])

    sections = sorted(checklist['checklist'].values(),
                      key=lambda s: int(s['no']))
    for section in sections:
        mdFile.new_header(level=1, title=section['title'])
        for subject in section['subjects'].values():
            mdFile.new_header(level=2, title=subject['title'])
            mdFile.new_paragraph(subject['description'])
            mdFile.new_paragraph("Reference: " + subject['provisions'])
            mdFile.new_paragraph("Functions: " +
                                 ", ".join(subject['functions']))
            mdFile.new_paragraph("Groups: " + ", ".join(subject['groups']))

            actions = [['No', 'Description', 'Tags', 'Check']]
            actions += [[a['no'], a['description'], ", ".join(a['tags']), '']
                        for a in subject['actions'].values()]
            rows = len(actions)
            actions = flatten(actions)
            mdFile.new_table(columns=4,
                             rows=rows,
                             text=actions,
                             text_align='left')

    mdFile.create_md_file()
Exemplo n.º 2
0
def episodeToMarkdown(data, podInfo, auth):
    """ Take in a podcast episode data from PodcastIndex and return Markdowns """
    fileName = str(data['id']) + '.md'
    published = time.strftime("%a, %d %b %Y %H:%M:%S +0000",
                              time.gmtime(data['datePublished']))
    mf = MdUtils(file_name=fileName, title=data['title'])
    showTxt = data['title'] + ' - ' + data['enclosureType']
    mf.new_line(mf.new_inline_link(link=data['enclosureUrl'], text=showTxt))
    mf.new_line(mf.new_inline_link(link=data['link'], text='Show Notes Link'))
    mf.new_line(f'Published: {published}')
    if 'image' in data:
        mf.new_paragraph(Html.image(path=data['image']))
    elif 'feedImage':
        mf.new_paragraph(Html.image(path=data['feedImage']))
    showTitle = "Podcast: " + podInfo['feed']['title']
    mf.new_header(1, showTitle)
    feedUrl = podInfo['feed']['url']
    podLink = f'[Original RSS Feed]({feedUrl})'
    mf.new_paragraph(podLink)
    mf.new_paragraph(data['description'])
    mf.new_paragraph('PodcastIndex.org ID: ' + str(data['id']))
    mf.read_md_file('postfooter.md')
    mf.file_data_text = mf.file_data_text.replace('somethingtoreplacehere777',
                                                  auth)
    print(f'Working on {showTxt}')
    return mf, fileName
Exemplo n.º 3
0
    def to_markdown(self):
        """Generate markdown file."""
        params = self._construct()

        markdown = MdUtils(file_name=params._name)
        markdown.new_header(level=1, title=str(params._name).capitalize())
        markdown.new_header(level=2, title="Description")
        markdown.new_paragraph(params._desc_feature_set)
        markdown.new_line()
        markdown.new_header(level=2, title="Feature Set Pipeline")
        markdown.new_header(level=3, title="Source")

        source = ["Reader", "Location"]
        for r, l in params._source:
            source.extend([r, l])

        count_rows = len(source) // 2

        markdown.new_table(columns=2,
                           rows=count_rows,
                           text=source,
                           text_align="center")
        markdown.new_header(level=3, title="Sink")

        sink = ["Writer"]
        for w in params._sink:
            sink.extend([w])

        count_rows = len(sink)

        markdown.new_table(columns=1,
                           rows=count_rows,
                           text=sink,
                           text_align="center")
        markdown.new_header(level=3, title="Features")

        features = ["Column name", "Data type", "Description"]
        for c, desc in params._features:
            features.extend([c["column_name"], str(c["type"]), desc])

        count_rows = len(features) // 3

        markdown.new_table(columns=3,
                           rows=count_rows,
                           text=features,
                           text_align="center")

        if self.save:
            markdown.create_md_file()
        else:
            return markdown.file_data_text
Exemplo n.º 4
0
    def write_requirements(self, root_dir='.', md_file_name=None, format='md'):
        if not md_file_name:
            if self._current_tag:
                md_file_name = os.path.join(root_dir, self._current_tag, 'REQUIREMENTS.md')
            else:
                dev_or_stable = "dev" if self._dev else "stable"
                raise NoAppropriateVersionFoundException("No suitable version for " + dev_or_stable + "release")

        os.makedirs(os.path.dirname(md_file_name), exist_ok=True)
        requirements_md = MdUtils(file_name=md_file_name, title="Requirements Summary")

        for req_topic in self._requirements:
            requirements_md.new_header(level=1, title=req_topic)
            for req in self._requirements[req_topic]:
                impacted = self._current_tag in self._requirements_tag_map[req['number']]['tags'] if req['number'] in self._requirements_tag_map else False
                impacted_icon = ':boom:' if impacted else ''
                title = f"{req['title']} ([#{req['number']}](https://github.com/{self._repo}/issues/{req['number']})) {impacted_icon}"
                requirements_md.new_header(level=2, title=title)
                if impacted:
                    issue_lines = {t : [] for t in Requirements.ISSUE_TYPES}
                    for n in self._requirements_tag_map[req['number']]['issues']:
                        issue = self._repo.issue(n)
                        bug_or_enhancement = Requirements._issue_is_bug_or_enhancement(issue)
                        issue_lines[bug_or_enhancement].append(f'{issue.title} ([#{n}](https://github.com/{self._repo}/issues/{n}))')

                    for issue_type, issue_list in issue_lines.items():
                        if len(issue_lines[issue_type]):
                            requirements_md.new_paragraph(f'The {issue_type}s which impact this requirements are:')
                            requirements_md.new_list(issue_list)

                else:
                    requirements_md.new_paragraph('This requirement is not impacted by the current version')

        requirements_md.create_md_file()
        if format == 'md':
            return md_file_name
        if format == 'html':
            html_file_name = md_file_name.replace('.md', '.html')
            return md_to_html(md_file_name, html_file_name,
                              {'name': self._repo, 'description': self._repo.description, 'tag': self._current_tag})
        else:
            logger.error(f'output format {format} is not supported')
            return ''

        self._clean_previous_dev_requirements(root_dir)
Exemplo n.º 5
0
def report(fails: Dict[str, List[Fail]]):
    print('Start writing report')
    start_time = time.time()
    mdFile = MdUtils(file_name='report', title='OCR Recognition Report')

    for fail_typ in fails.keys():
        mdFile.new_header(level=2,
                          title=fail_typ.title,
                          add_table_of_contents='n')
        mdFile.new_header(level=3,
                          title="Explanation",
                          add_table_of_contents='n')
        mdFile.new_paragraph(fail_typ.explanation)
        mdFile.new_line(
            f'There were in total {len(fails[fail_typ])} of {fail_typ.title}')
        mdFile.new_header(level=3, title="Fails", add_table_of_contents='n')
        mdFile.new_line()

        if fail_typ == LenFail:
            md_text: List[str] = [
                'Font name - size', 'Words in PDF', 'Recognized words',
                'Levenshtein distance of total text'
            ]
            for len_fail in fails[fail_typ]:
                md_text.extend([
                    f'{len_fail.font_name} - {len_fail.font_size}',
                    str(len_fail.pdf_len),
                    str(len_fail.ocr_len),
                    str(len_fail.total_levenshtein)
                ])

            mdFile.new_table(columns=4,
                             rows=int(len(md_text) / 4),
                             text=md_text,
                             text_align='center')
        else:
            for fail in fails[fail_typ]:
                mdFile = fail.to_md(mdFile)

    mdFile.create_md_file()
    print(f'Finished reporting after {time.time() - start_time} sec')
Exemplo n.º 6
0
def makeMarkdown(data, path):
    # Creates the README file
    global base_url

    mdf = MdUtils(file_name=path + 'README', title='RBA TechRadar for Azure')

    adopt_list = list()
    trial_list = list()
    assess_list = list()
    hold_list = list()
    reject_list = list()

    # Create categories on status
    for key in data:
        status = data[key].get("status")
        if status == "ADOPT": adopt_list.append(key)
        if status == "TRIAL": trial_list.append(key)
        if status == "ASSESS": assess_list.append(key)
        if status == "HOLD": hold_list.append(key)
        if status == "REJECT": reject_list.append(key)

    mdf.new_header(level=1, title='Overview')

    mdf.new_header(level=2, title='What is the purpose?')
    mdf.new_paragraph(
        "The RBA TechRadar for Azure is a tool to inspire and "
        "support engineering teams at Risk & Business Analytics to pick the best "
        "technologies for new projects; it provides a platform to share knowledge "
        "and experience in technologies, to reflect on technology decisions and "
        "continuously evolve our technology landscape.  Based on the pioneering "
        "work at Thought Works, our radar sets out the changes in technologies "
        "that are interesting in cloud development - changes that we think our "
        "engineering teams should pay attention to and consider using in their "
        "projects.")

    mdf.new_header(level=2, title='How do we maintain it?')
    mdf.new_paragraph(
        "The RBA TechRadar for Azure is maintained by the Cloud "
        "Center of Excellence - an open group of senior RBA technologists committed "
        "to devote time to this purpose.  The CCoE self organizes to maintain these "
        "documents, including this version.  Assignment of technologies to rings is "
        "the outcome of status change proposals, which are discussed and voted on "
        "in CCoE meetings.  The radar depends on active participation and input from "
        "all engineering teams at RBA.")

    mdf.new_header(level=2, title='What are the current ring assignments?')
    mdf.new_paragraph(
        "The RBA TechRadar for Azure is a list of technologies, "
        "complemented by an assesment result, called ring assignment.  We use five "
        "rings with the following semantics:")

    # Handle the Adopt Section
    mdf.new_header(level=3, title='Adopt')
    mdf.new_paragraph(
        "Technologies we have high confidence in to serve our "
        "purpose, also at large scale.  Technologies with a usage culture in the "
        "RBA production environment, low risk, automated policy enforcement and "
        "are recommended to be widely used.")

    adopt_tbl = [
        "<sub>Resource</sub>", "<sub>Description</sub>", "<sub>Type</sub>",
        "<sub>Status</sub>"
    ]
    adopt_cnt = len(adopt_list) + 1

    for key in adopt_list:
        resourceName = key
        resourceDesc = data[key].get("description", "")
        resourcePath = data[key].get("path", "")
        resourceType = data[key].get("architecture review", "").get("type", "")
        resourceUrl = data[key].get("url", "")
        resourceStatus = data[key].get("status", "")
        resourceName = "[" + resourceName + "](" + base_url + '/' + resourceUrl + ")"
        adopt_tbl.extend([
            '<sub>' + resourceName + '</sub>',
            '<sub>' + resourceDesc + '</sub>',
            '<sub>' + resourceType + '</sub>',
            '<sub>' + resourceStatus + '</sub>'
        ])

    if adopt_cnt == 1:
        mdf.new_line("")
        mdf.new_line("There are currently no resources at this ring level.",
                     bold_italics_code='bi',
                     color='red')
    else:
        mdf.new_line("")
        mdf.new_table(columns=4, rows=adopt_cnt, text=adopt_tbl)

    # Handle the Trial Section
    mdf.new_header(level=3, title='Trial')
    mdf.new_paragraph(
        "Technologies that we have seen work with success in projects "
        "to solve real problems;  first serious usage experience that confirm benefits "
        "and uncover limitations.  TRIAL technologies are slightly more risky; some "
        "engineers in our organization walked this path and will share knowledge and "
        "experiences.  This area can contain services that have been architecture and "
        "security reviewed but do not contain automated policy managmeent.")

    trial_tbl = [
        "<sub>Resource</sub>", "<sub>Description</sub>", "<sub>Type</sub>",
        "<sub>Status</sub>"
    ]
    trial_cnt = len(trial_list) + 1
    for key in trial_list:
        resourceName = key
        resourceDesc = data[key].get("description", "")
        resourcePath = data[key].get("path", "")
        resourceType = data[key].get("architecture review", "").get("type", "")
        resourceUrl = data[key].get("url", "")
        resourceStatus = data[key].get("status", "")
        resourceName = "[" + resourceName + "](" + base_url + '/' + resourceUrl + ")"
        trial_tbl.extend([
            '<sub>' + resourceName + '</sub>',
            '<sub>' + resourceDesc + '</sub>',
            '<sub>' + resourceType + '</sub>',
            '<sub>' + resourceStatus + '</sub>'
        ])

    if trial_cnt == 1:
        mdf.new_line("")
        mdf.new_line("There are currently no resources at this ring level.",
                     bold_italics_code='bi',
                     color='red')
    else:
        mdf.new_line("")
        mdf.new_table(columns=4, rows=trial_cnt, text=trial_tbl)

    # Handle the Assess Section
    mdf.new_header(level=3, title='Assess')
    mdf.new_paragraph(
        "Technologies that are promising and have clear potential "
        "value-add for us; technologies worth investing some research and "
        "prototyping efforts to see if it has impact.  ASSESS technologies have "
        "higher risks;  they are often new to our organization and highly unproven "
        "within RBA.  You will find some engineers that have knowledge in the "
        "technology and promote it, you may even find teams that have started "
        "a prototyping effort.  These technologies can also include services that "
        "are currently in architecture or security review.")

    assess_tbl = [
        "<sub>Resource</sub>", "<sub>Description</sub>", "<sub>Type</sub>",
        "<sub>Status</sub>"
    ]
    assess_cnt = len(assess_list) + 1
    for key in assess_list:
        resourceName = key
        resourceDesc = data[key].get("description", "")
        resourcePath = data[key].get("path", "")
        resourceType = data[key].get("architecture review", "").get("type", "")
        resourceUrl = data[key].get("url", "")
        resourceStatus = data[key].get("status", "")
        resourceName = "[" + resourceName + "](" + base_url + '/' + resourceUrl + ")"
        assess_tbl.extend([
            '<sub>' + resourceName + '</sub>',
            '<sub>' + resourceDesc + '</sub>',
            '<sub>' + resourceType + '</sub>',
            '<sub>' + resourceStatus + '</sub>'
        ])

    if assess_cnt == 1:
        mdf.new_line("")
        mdf.new_line("There are currently no resources at this ring level.",
                     bold_italics_code='bi',
                     color='red')
    else:
        mdf.new_line("")
        mdf.new_table(columns=4, rows=assess_cnt, text=assess_tbl)

    # Handle the Hold Section
    mdf.new_header(level=3, title='Hold')
    mdf.new_paragraph(
        "Technologies not recommended to be used for new projects. "
        "Technologies that we think are not (yet) worth to (further) invest in.  "
        "HOLD technologies should not be used for new projects, but usually can be "
        "continued for existing projects.  These technologies may include services "
        "that have yet to be evaluated by architecture and security due to a lack "
        "of interest, time, or need.")

    hold_tbl = [
        "<sub>Resource</sub>", "<sub>Description</sub>", "<sub>Type</sub>",
        "<sub>Status</sub>"
    ]

    hold_cnt = len(hold_list) + 1
    for key in hold_list:
        resourceName = key
        resourceDesc = data[key].get("description", "")
        resourcePath = data[key].get("path", "")
        resourceType = data[key].get("architecture review", "").get("type", "")
        resourceUrl = data[key].get("url", "")
        resourceStatus = data[key].get("status", "")
        #resourceName    = "["+resourceName+"]("+resourceUrl+")"
        hold_tbl.extend([
            '<sub>' + resourceName + '</sub>',
            '<sub>' + resourceDesc + '</sub>',
            '<sub>' + resourceType + '</sub>',
            '<sub>' + resourceStatus + '</sub>'
        ])

    if hold_cnt == 1:
        mdf.new_line("")
        mdf.new_line("There are currently no resources at this ring level.",
                     bold_italics_code='bi',
                     color='red')
    else:
        mdf.new_line("")
        mdf.new_table(columns=4, rows=hold_cnt, text=hold_tbl)

    # Handle the Reject Section
    mdf.new_header(level=3, title='Reject')
    mdf.new_paragraph(
        "Technologies not recommended to be used for any projects. "
        "Technologies that have undergone architecture and security review but do "
        "not meet company standards for use.  REJECT technologies should never be "
        "used on any project and should be considered deprecated for existing "
        "projects.")

    reject_tbl = [
        "<sub>Resource</sub>", "<sub>Description</sub>", "<sub>Type</sub>",
        "<sub>Status</sub>"
    ]
    reject_cnt = len(reject_list) + 1
    for key in reject_list:
        resourceName = key
        resourceDesc = data[key].get("description", "")
        resourcePath = data[key].get("path", "")
        resourceType = data[key].get("architecture review", "").get("type", "")
        resourceUrl = data[key].get("url", "")
        resourceStatus = data[key].get("status", "")
        #resourceName    = "["+resourceName+"]("+resourceUrl+")"
        reject_tbl.extend([
            '<sub>' + resourceName + '</sub>',
            '<sub>' + resourceDesc + '</sub>',
            '<sub>' + resourceType + '</sub>',
            '<sub>' + resourceStatus + '</sub>'
        ])

    if reject_cnt == 1:
        mdf.new_line("")
        mdf.new_line("There are currently no resources at this ring level.",
                     bold_italics_code='bi',
                     color='red')
    else:
        mdf.new_line("")
        mdf.new_table(columns=4, rows=reject_cnt, text=reject_tbl)

    mdf.create_md_file()
Exemplo n.º 7
0
def create_report(res_files: [], output: str, title="", description=""):
    res = []
    for f in res_files:
        with open(f) as json_file:
            res.append(json.load(json_file))

    mdFile = MdUtils(file_name=output, title=title)
    if description:
        mdFile.new_paragraph(description, bold_italics_code='b')

    mdFile.new_header(level=1, title='Platform')

    platform = res[0]['platform']
    list_of_strings = ["System", "Information"]
    rows = 1
    for key in platform.keys():
        list_of_strings.extend([key, str(platform[key])])
        rows += 1
    mdFile.new_line()
    mdFile.new_table(columns=2,
                     rows=rows,
                     text=list_of_strings,
                     text_align='left')

    mdFile.new_header(level=1, title='Test results')
    tests = res[0]['tests']
    for test_key in tests.keys():
        mdFile.new_header(level=2, title=test_key)
        mdFile.new_line('~~~')
        mdFile.new_line(tests[test_key]['command'])
        mdFile.new_line('~~~')

        test_res = tests[test_key]['result']
        list_of_strings = ['Test'] + list(test_res.keys())
        cols = len(list_of_strings)
        rows = 1
        avg = {}
        avgc = {}
        for r in res:
            list_of_strings.extend(
                [r['name'] + " (" + r['iteration'] + ")"] +
                list(r['tests'][test_key]['result'].values()))
            rows += 1
            if r['name'] not in avg.keys():
                avg[r['name']] = list(r['tests'][test_key]['result'].values())
                avgc[r['name']] = 1
            else:
                avg[r['name']] = [
                    str(float(x) + float(y)) for x, y in zip(
                        avg[r['name']],
                        list(r['tests'][test_key]['result'].values()))
                ]
                avgc[r['name']] += 1

        for avg_key in avg.keys():
            avg[avg_key] = [
                str(round(float(x) / avgc[avg_key], 3)) for x in avg[avg_key]
            ]
            list_of_strings.extend([avg_key + " (avg)"] + avg[avg_key])
            rows += 1

        mdFile.new_table(columns=cols,
                         rows=rows,
                         text=list_of_strings,
                         text_align='left')
        mdFile.new_line()

    mdFile.create_md_file()
    print("{}.md succesfully created".format(output))