views.py

"""
    Routes
"""
import copy
import io
import itertools
import json
import logging
import subprocess
import tempfile
from datetime import datetime
from operator import itemgetter
from pathlib import Path
from urllib.parse import quote_plus, urlencode

import requests
import tableschema
import tabulator
from backports.datetime_fromisoformat import MonkeyPatch
from commonmark import commonmark
from flask import make_response, redirect, render_template, request, url_for

from validata_core import compute_badge, messages

from . import app, config, schema_catalog_map, schema_from_url
from .ui_util import flash_error, flash_warning
from .validata_util import UploadedFileValidataResource, URLValidataResource, ValidataResource

MonkeyPatch.patch_fromisoformat()

log = logging.getLogger(__name__)


class SchemaInstance():
    """Handly class to handle schema information"""

    def __init__(self, url=None, name=None, ref=None, spec=None, versions=None, doc_url=None):
        """This function is not intended to be called directly
        but via from_parameters() static method!"""
        self.url = url
        self.name = name
        self.ref = ref
        self.spec = spec
        self.versions = versions
        self.doc_url = doc_url

    @staticmethod
    def from_parameters(parameter_dict, schema_catalog_map):
        """Initializes schema instance from requests dict and tableschema catalog (for name ref)
        """
        schema_url, schema_name, schema_ref, versions, doc_url = None, None, None, None, None

        # From schema_url
        if 'schema_url' in parameter_dict:
            schema_url = parameter_dict["schema_url"]

        # from schema_name (and schema_ref)
        elif 'schema_name' in parameter_dict:
            schema_name = parameter_dict['schema_name']
            schema_ref = parameter_dict.get('schema_ref')

            # Check schema name
            chunks = schema_name.split('.')
            if len(chunks) != 2:
                return None

            section_code, ref_name = chunks

            # Look for schema catalog first
            table_schema_catalog = schema_catalog_map.get(section_code)
            if table_schema_catalog is None:
                return None

            # Unknown schema name?
            table_schema_reference = table_schema_catalog.reference_by_name.get(ref_name)
            if table_schema_reference is None:
                return None

            # Git refs
            if table_schema_reference:
                versions = table_schema_reference.get_refs()
                doc_url = table_schema_reference.doc_url
            options = {'ref': schema_ref} if schema_ref else {}
            schema_url = table_schema_reference.get_schema_url(**options)

        # else???
        else:
            return None

        return SchemaInstance(url=schema_url, name=schema_name, ref=schema_ref,
                              spec=schema_from_url(schema_url), versions=versions, doc_url=doc_url)

    def request_parameters(self):
        if self.name:
            return {
                'schema_name': self.name,
                'schema_ref': '' if self.ref is None else self.ref
            }
        return {
            'schema_url': self.url
        }


def extract_source_data(source: ValidataResource, preview_rows_nb=5):
    """ Computes table preview """

    def stringify(val):
        """ Transform value into string """
        return '' if val is None else str(val)

    header = None
    rows = []
    nb_rows = 0

    # if source.format == "csv":
    #     options['delimiter'] = csv_helpers.detect_dialect(source.source, format=source.format, scheme=source.scheme,
    #                                                       custom_loaders=custom_loaders).delimiter
    tabulator_source, tabulator_options = source.build_tabulator_stream_args()
    with tabulator.Stream(tabulator_source, **tabulator_options) as stream:
        for row in stream:
            if header is None:
                header = ['' if v is None else v for v in row]
            else:
                rows.append(list(map(stringify, row)))
                nb_rows += 1
    preview_rows_nb = min(preview_rows_nb, nb_rows)
    return {'header': header,
            'rows_nb': nb_rows,
            'data_rows': rows,
            'preview_rows_nb': preview_rows_nb,
            'preview_rows': rows[:preview_rows_nb]}


def improve_errors(errors):
    """Add context to errors, converts markdown content to HTML"""

    def improve_err(err):
        """Adds context info based on row-nb presence and converts content to HTML"""

        # Context
        update_keys = {
            'context': 'body' if 'row-number' in err and not err['row-number'] is None else 'table',
        }

        # markdown to HTML (with default values for 'title' and 'content')

        # Set default title if no title
        if not 'title' in err:
            update_keys['title'] = '[{}]'.format(err['code'])

        # Convert message to markdown only if no content
        # => for pre-checks errors
        if 'message' in err and not 'content' in err:
            update_keys['message'] = commonmark(err['message'])

        # Else, default message
        elif not 'message' in err or err['message'] is None:
            update_keys['message'] = '[{}]'.format(err['code'])

        # Message content
        md_content = '*content soon available*' if not 'content' in err else err['content']
        update_keys['content'] = commonmark(md_content)

        return {**err, **update_keys}

    return list(map(improve_err, errors))


def create_validata_ui_report(validata_core_report, schema_dict):
    """ Creates an error report easier to handle and display in templates:
        - only one table
        - errors are contextualized
        - error-counts is ok
        - errors are grouped by lines
        - errors are separated into "structure" and "body"
        - error messages are improved
    """
    report = copy.deepcopy(validata_core_report)

    # One table is enough
    del report['table-count']
    report['table'] = report['tables'][0]
    del report['tables']
    del report['table']['error-count']
    del report['table']['time']
    del report['table']['valid']
    del report['valid']
    # use _ instead of - to ease information picking in jinja2 template
    report['table']['row_count'] = report['table']['row-count']

    # Handy col_count info
    headers = report['table'].get('headers', [])
    report['table']['col_count'] = len(headers)

    # Computes column info
    fields_dict = {f['name']: (f.get('title', 'titre non défini'), f.get('description', ''))
                   for f in schema_dict.get('fields', [])}
    report['table']['headers_title'] = [fields_dict[h][0] if h in fields_dict else 'colonne inconnue' for h in headers]
    report['table']['headers_description'] = [fields_dict[h][1]
                                              if h in fields_dict else 'Cette colonne n\'est pas définie dans le schema' for h in headers]

    # Provide better (french) messages
    errors = improve_errors(report['table']['errors'])
    del report['table']['errors']

    # Count errors
    report['error_count'] = len(errors)
    del report['error-count']

    # Then group them in 2 groups : structure and body
    report['table']['errors'] = {'structure': [], 'body': []}
    for err in errors:
        if err['tag'] == 'structure':
            report['table']['errors']['structure'].append(err)
        else:
            report['table']['errors']['body'].append(err)

    # Checks if there are structure errors different to invalid-column-delimiter
    structure_errors = report['table']['errors']['structure']
    report['table']['do_display_body_errors'] = len(structure_errors) == 0 or \
        all(err['code'] == 'invalid-column-delimiter' for err in structure_errors)

    # Checks if a column comparison is needed
    header_errors = ('missing-headers', 'extra-headers', 'wrong-headers-order')
    structure_errors = [{**err, 'in_column_comp': err['code'] in header_errors} for err in structure_errors]
    report['table']['errors']['structure'] = structure_errors
    column_comparison_needed = any(err['in_column_comp'] == True for err in structure_errors)
    column_comparison_table = []
    if column_comparison_needed:
        column_comparison_table = []
        field_names = [f['name'] for f in schema_dict.get('fields', [])]
        has_case_errors = False
        for t in itertools.zip_longest(headers, field_names, fillvalue=''):
            status = 'ok' if t[0] == t[1] else 'ko'
            if not has_case_errors and status == 'ko' and t[0].lower() == t[1].lower():
                has_case_errors = True
            column_comparison_table.append((*t, status))
        info = {}
        info['table'] = column_comparison_table
        info['has_missing'] = len(headers) < len(field_names)
        info['has_case_errors'] = has_case_errors
        report['table']['column_comparison_info'] = info
    report['table']['column_comparison_needed'] = column_comparison_needed

    # Group body errors by row id
    rows = []
    current_row_id = 0
    for err in report['table']['errors']['body']:
        if not 'row-number' in err:
            print('ERR', err)
        row_id = err['row-number']
        del err['row-number']
        del err['context']
        if row_id != current_row_id:
            current_row_id = row_id
            rows.append({'row_id': current_row_id, 'errors': {}})

        column_id = err.get('column-number')
        if column_id is not None:
            del err['column-number']
            rows[-1]['errors'][column_id] = err
        else:
            rows[-1]['errors']['row'] = err
    report['table']['errors']['body_by_rows'] = rows

    # Sort by error names in statistics
    stats = report['table']['error-stats']
    code_title_map = messages.ERROR_MESSAGE_DEFAULT_TITLE
    for key in ('structure-errors', 'value-errors'):
        # convert dict into tuples with french title instead of error code
        # and sorts by title
        stats[key]['count-by-code'] = sorted([(code_title_map.get(k, k), v) for k, v in stats[key]['count-by-code'].items()],
                                             key=itemgetter(0))

    return report


def compute_badge_message_and_color(badge):
    """Computes message and color from badge information"""
    structure = badge['structure']
    body = badge.get('body')

    # Bad structure, stop here
    if structure == 'KO':
        return (
            'structure invalide', 'red')

    # No body error
    if body == 'OK':
        return ('structure invalide', 'orange') if structure == 'WARN' else ('valide', 'green')

    # else compute quality ratio percent
    p = (1 - badge['error-ratio']) * 100.0
    msg = 'cellules valides : {:.1f}%'.format(p)
    return (msg, 'red') if body == 'KO' else (msg, 'orange')


def get_badge_url_and_message(badge):
    """Gets badge url from badge information"""

    msg, color = compute_badge_message_and_color(badge)
    return ('{}static/v1.svg?label=Validata&message={}&color={}'.format(
        config.SHIELDS_IO_BASE_URL, quote_plus(msg), color), msg)


def validate(schema_instance: SchemaInstance, source: ValidataResource):
    """ Validate source and display report """

    # Validation is done through http call to validata-api
    if config.API_VALIDATE_ENDPOINT is None:
        flash_error("No Validate endpoint defined :-(")
        return redirect(url_for("custom_validator"))
    api_url = config.API_VALIDATE_ENDPOINT

    # Useful to receive response as JSON
    headers = {"Accept": "application/json"}

    try:
        if source.type == 'url':
            params = {
                "schema": schema_instance.url,
                "url": source.url,
            }
            req = requests.get(api_url, params=params, headers=headers)

        else:
            files = {'file': (source.filename, source.build_reader())}
            data = {"schema": schema_instance.url}
            req = requests.post(api_url, data=data, files=files, headers=headers)

        # 400
        if req.status_code == 400:
            json_response = req.json()
            if json_response.get('_meta') and json_response.get('_meta').get('args'):
                response_args = json_response.get('_meta').get('args')
                if response_args.get('code') == 'cant_detect_csv_dialect':
                    flash_error("Format de fichier CSV non reconnu")
                    return redirect(compute_validation_form_url(schema_instance))
                if response_args.get('code') == 'missing_headers':
                    flash_error("Impossible d'extraire les noms de colonne du fichier")
                    return redirect(compute_validation_form_url(schema_instance))

            flash_error("Une erreur est survenue durant la validation: {}"
                        .format(json_response.get('message')))
            return redirect(compute_validation_form_url(schema_instance))

        if not req.ok:
            flash_error("Un erreur s'est produite côté serveur :-(")
            return redirect(compute_validation_form_url(schema_instance))

        json_response = req.json()
        validata_core_report = json_response['report']
        schema_dict = json_response['schema']

    except requests.ConnectionError as err:
        logging.exception(err)
        flash_error(str(err))
        return redirect(url_for('home'))

    # Computes badge from report and badge configuration
    badge = compute_badge(validata_core_report, config.BADGE_CONFIG)
    badge_url, badge_msg = get_badge_url_and_message(badge)

    source_errors = [err for err in validata_core_report['tables'][0]['errors'] if err['code'] == 'source-error']
    if source_errors:
        err = source_errors[0]
        msg = "l'encodage du fichier est invalide. Veuillez le corriger" if 'charmap' in err[
            'message'] else err['message']
        flash_error('Erreur de source : {}'.format(msg))
        return redirect(url_for('custom_validator'))

    source_data = extract_source_data(source)

    # handle report date
    report_datetime = datetime.fromisoformat(validata_core_report['date']).astimezone()

    # Enhance validata_core_report
    validata_report = create_validata_ui_report(validata_core_report, schema_dict)

    # Display report to the user
    validator_form_url = compute_validation_form_url(schema_instance)
    schema_info, validator_title = compute_schema_info(schema_instance.spec, schema_instance.url)
    pdf_report_url = url_for('pdf_report')+'?'+urlencode(schema_instance.request_parameters())
    return render_template('validation_report.html', title='Rapport de validation',
                           schema_info=schema_info, report=validata_report,
                           pdf_report_url=pdf_report_url,
                           validation_date=report_datetime.strftime('le %d/%m/%Y à %Hh%M'),
                           source=source, source_data=source_data,
                           schema_current_version=schema_instance.ref,
                           doc_url = schema_instance.doc_url,
                           print_mode=request.args.get('print', 'false') == 'true',
                           badge_url=badge_url, badge_msg=badge_msg,
                           report_str=json.dumps(validata_report, sort_keys=True, indent=2),
                           breadcrumbs=[{'url': url_for('home'), 'title': 'Accueil'},
                                        {'url': validator_form_url, 'title': validator_title},
                                        ])


def bytes_data(f):
    """ Gets bytes data from Werkzeug FileStorage instance """
    iob = io.BytesIO()
    f.save(iob)
    iob.seek(0)
    return iob.getvalue()


def homepage_config_with_schema_metadata(ui_config, schema_catalog_map):
    """Replace catalog url within ui_config by schema references
    containing schema metadata properties"""

    extended_ui_config = ui_config.copy()
    for section in extended_ui_config['sections']:
        section_code = section['code']
        if section_code not in schema_catalog_map:
            continue
        schema_catalog = schema_catalog_map[section_code]
        schema_list = []
        for ref in schema_catalog.references:
            # Loads default table schema for each schema reference
            table_schema = schema_from_url(ref.get_schema_url(check_exists=False))
            schema_list.append({
                'name': '{}.{}'.format(section_code, ref.name),
                # Extracts title, description, ...
                **extract_schema_metadata(table_schema)
            })
        section['catalog'] = schema_list
    return extended_ui_config

# Routes


@app.route('/')
def home():
    """ Home page """
    home_config = homepage_config_with_schema_metadata(config.HOMEPAGE_CONFIG, schema_catalog_map)
    return render_template('home.html', title='Accueil', config=home_config)


@app.route('/pdf')
def pdf_report():
    """PDF report generation"""
    err_prefix = 'Erreur de génération du rapport PDF'

    url_param = request.args.get('url')
    if not url_param:
        flash_error(err_prefix + ': URL non fournie')
        return redirect(url_for('home'))

    schema_instance = SchemaInstance.from_parameters(request.args, schema_catalog_map)
    if schema_instance is None:
        flash_error(err_prefix + ': Information de schema non fournie')
        return redirect(url_for('home'))

    # Compute pdf url report
    base_url = url_for('custom_validator', _external=True)
    parameter_dict = {
        'input': 'url',
        'print': 'true',
        'url': url_param,
        **schema_instance.request_parameters()
    }
    validation_url = base_url + '?' + urlencode(parameter_dict)

    # Create temp file to save validation report
    with tempfile.NamedTemporaryFile(prefix='validata_{}_report_'.format(datetime.now().timestamp()), suffix='.pdf') as tmpfile:
        tmp_pdf_report = Path(tmpfile.name)

    # Use chromium headless to generate PDF from validation report page
    cmd = ['chromium', '--headless', '--disable-gpu',
           '--print-to-pdf={}'.format(str(tmp_pdf_report)), validation_url]
    result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
    if result.returncode != 0:
        flash_error(err_prefix)
        log.error("Command %r returned an error: %r", cmd, result.stdout.decode('utf-8'))
        if tmp_pdf_report.exists():
            tmp_pdf_report.unlink()
        return redirect(url_for('home'))

    # Send PDF report
    pdf_filename = 'Rapport de validation {}.pdf'.format(datetime.now().strftime('%d-%m-%Y %Hh%M'))
    response = make_response(tmp_pdf_report.read_bytes())
    response.headers.set('Content-disposition', 'attachment', filename=pdf_filename)
    response.headers.set('Content-type', 'application/pdf')
    response.headers.set('Content-length', tmp_pdf_report.stat().st_size)

    tmp_pdf_report.unlink()

    return response


def extract_schema_metadata(table_schema: tableschema.Schema):
    """Gets author, contibutor, version...metadata from schema header"""
    return {k: v for k, v in table_schema.descriptor.items() if k != 'fields'}


def compute_schema_info(table_schema: tableschema.Schema, schema_url):
    """Factor code for validator form page"""

    # Schema URL + schema metadata info
    schema_info = {
        'url': schema_url,
        **extract_schema_metadata(table_schema)
    }
    meta_title = schema_info.get('title')

    title = "Schéma « {} »".format(meta_title if meta_title else '...')
    return schema_info, title


def compute_validation_form_url(schema_instance: SchemaInstance):
    """Computes validation form url with schema URL parameter"""
    url = url_for('custom_validator')
    param_list = ['{}={}'.format(k, quote_plus(v))
                  for k, v in schema_instance.request_parameters().items()]
    return "{}?{}".format(url, '&'.join(param_list))


@app.route('/table-schema', methods=['GET', 'POST'])
def custom_validator():
    """Validator form"""

    # Check that validata-api URL is set
    if config.API_VALIDATE_ENDPOINT is None:
        flash_error("URL de connexion à l'API non indiquée :-(")
        return redirect(url_for('home'))

    if request.method == 'GET':

        # input is a hidden form parameter to know
        # if this is the initial page display or if the validation has been asked for
        input_param = request.args.get('input')

        # url of resource to be validated
        url_param = request.args.get("url")

        schema_instance = SchemaInstance.from_parameters(request.args, schema_catalog_map)
        if schema_instance is None:
            flash_error("Aucun schéma passé en paramètre")
            return redirect(url_for('home'))

        # First form display
        if input_param is None:

            schema_versions = schema_instance.versions
            schema_info, title = compute_schema_info(schema_instance.spec, schema_instance.url)
            return render_template('validation_form.html', title=title,
                                   schema_info=schema_info, schema_versions=schema_versions,
                                   schema_current_version=schema_instance.ref,
                                   doc_url = schema_instance.doc_url,
                                   schema_params=schema_instance.request_parameters(),
                                   breadcrumbs=[{'url': url_for('home'), 'title': 'Accueil'}, ])

        # Process URL
        else:
            if url_param is None or url_param == '':
                flash_error("Vous n'avez pas indiqué d'url à valider")
                return redirect(compute_validation_form_url(schema_instance))
            try:
                return validate(schema_instance, URLValidataResource(url_param))
            except tabulator.exceptions.FormatError as e:
                flash_error('Erreur : Format de ressource non supporté')
                log.info(e)
                return redirect(compute_validation_form_url(schema_instance))
            except tabulator.exceptions.HTTPError as e:
                flash_error('Erreur : impossible d\'accéder au fichier source en ligne')
                log.info(e)
                return redirect(compute_validation_form_url(schema_instance))

    else:  # POST

        schema_instance = SchemaInstance.from_parameters(request.form, schema_catalog_map)
        if schema_instance is None:
            flash_error('Aucun schéma défini')
            return redirect(url_for('home'))

        input_param = request.form.get('input')
        if input_param is None:
            flash_error("Vous n'avez pas indiqué de fichier à valider")
            return redirect(compute_validation_form_url(schema_instance))

        # File validation
        if input_param == 'file':
            f = request.files.get('file')
            if f is None:
                flash_warning("Vous n'avez pas indiqué de fichier à valider")
                return redirect(compute_validation_form_url(schema_instance))

            return validate(schema_instance, UploadedFileValidataResource(f.filename, bytes_data(f)))

        return 'Bizarre, vous avez dit bizarre ?'