Exemplo n.º 1
0
    def handle(self, **options):
        require_db_write_acknowledgement()
        return

        if options['all']:
            experiments = Experiment.objects.all()
        else:
            null_devstar_experiment_pks = (DevstarScore.objects.filter(
                area_adult__isnull=True,
                area_larva__isnull=True,
                area_embryo__isnull=True).values_list('experiment', flat=True))

            null_devstar_experiments = Experiment.objects.filter(
                pk__in=null_devstar_experiment_pks)

            all_devstar_experiment_pks = (
                DevstarScore.objects.all().values_list('experiment',
                                                       flat=True))

            no_devstar_experiments = Experiment.objects.exclude(
                pk__in=all_devstar_experiment_pks)

            experiments = sorted(chain(null_devstar_experiments,
                                       no_devstar_experiments),
                                 key=lambda instance: instance.id)

        for experiment in experiments:
            path = experiment.get_devstar_count_path()

            if not os.path.isfile(path):
                self.stderr.write('WARNING: Skipping experiment {} due to '
                                  'DevStaR file not found'.format(experiment))
                continue

            counts = [None] * 6

            with open(path, 'r') as f:
                for line in f:
                    for i, pattern in enumerate(PATTERNS):
                        if line.startswith(pattern):
                            try:
                                counts[i] = int(line.split()[1])
                            except Exception:
                                raise CommandError('Error parsing line {} '
                                                   'in experiment {}'.format(
                                                       i, experiment))

            for i, count in enumerate(counts):
                if count is None:
                    self.stderr.write('WARNING: {} count is missing '
                                      'for experiment {}'.format(
                                          PATTERNS[i], experiment))

            new_score = DevstarScore(
                experiment=experiment,
                is_bacteria_present=counts[0],
                area_adult=counts[1],
                area_larva=counts[2],
                area_embryo=counts[3],
                count_adult=counts[4],
                count_larva=counts[5],
            )

            # If score already exists in database, check for match
            try:
                previous_score = DevstarScore.objects.get(
                    experiment=experiment)

                if not previous_score.matches_raw_fields(new_score):
                    raise CommandError(
                        'The DevStaR txt output does '
                        'not match the existing database '
                        'entry for Experiment {}'.format(experiment))

            except ObjectDoesNotExist:
                self.stderr.write('DevStaR object not found for {}. '
                                  'Attempting to save.'.format(experiment))
                try:
                    new_score.full_clean()

                except ValidationError:
                    raise CommandError(
                        'Cleaning DevStaR object {} '
                        'raised ValidationError'.format(new_score))
Exemplo n.º 2
0
    def sync_score_row(legacy_row):
        # Build the object using the minimimum fields
        count_adult = legacy_row[8]
        count_larva = legacy_row[9]
        if count_adult == -1:
            count_adult = None
        if count_larva == -1:
            count_larva = None

        machine_call = legacy_row[15]
        if machine_call:
            selected_for_scoring = True
        else:
            selected_for_scoring = False

        new_score = DevstarScore(
            experiment=get_experiment(legacy_row[0], legacy_row[1]),
            area_adult=legacy_row[5],
            area_larva=legacy_row[6],
            area_embryo=legacy_row[7],
            count_adult=count_adult,
            count_larva=count_larva,
            is_bacteria_present=legacy_row[16],
            selected_for_scoring=selected_for_scoring,
            gi_score_larva_per_adult=legacy_row[17],
            gi_score_survival=legacy_row[18]
        )

        # Clean the object to populate the fields derived from other fields
        new_score.clean()

        ###############
        # SANITY CHECKS
        ###############

        errors = []

        new_allele = new_score.experiment.worm_strain.allele
        if (new_allele != legacy_row[2]):
            # Deal with case of legacy database using zc310 instead of zu310
            if (legacy_row[2] == 'zc310' and
                    new_allele == 'zu310'):
                pass

            # Deal with some case sensitivity issues in legacy database
            # (e.g. see experiment 32405, where the allele is capitalized).
            # Can't do lower() in all cases because "N2" should always be
            # capitalized.
            elif new_allele == legacy_row[2].lower():
                pass

            else:
                errors.append('allele mismatch')

        # Deal with case of some experiments having the wrong RNAiPlateID
        # in the legacy database's RawDataWithScore table. This field is
        # redundant with the RawData table, and RawData is more trustworthy;
        # however it is still worthwhile to perform this check in order
        # to find the mismatches, and to confirm manually that each one
        # makes sense.
        new_lp = new_score.experiment.library_stock.plate_id
        legacy_lp = legacy_row[4].replace('_', '-').replace('zc310', 'zu310')
        if (legacy_lp != new_lp and
                new_score.experiment.plate_id not in (461, 8345) and
                ('vidal-' not in new_lp or
                    legacy_lp != new_lp.split('vidal-')[1])):
            errors.append('RNAi plate mismatch: {} {}')

        if new_score.count_embryo != legacy_row[10]:
            errors.append('embryo count mismatch')

        if (new_score.embryo_per_adult and legacy_row[8] and
                legacy_row[8] != -1 and
                int(new_score.embryo_per_adult) != legacy_row[11]):
            errors.append('embryo per adult mismatch')

        if (new_score.larva_per_adult and legacy_row[9] and
                legacy_row[9] != -1 and
                int(new_score.larva_per_adult) != legacy_row[12]):
            errors.append('larva per adult mismatch')

        if (new_score.survival and not compare_floats_for_equality(
                new_score.survival, legacy_row[13]) and
                legacy_row[13] != 0):
            errors.append('invalid survival')

        if (new_score.lethality and not compare_floats_for_equality(
                new_score.lethality, legacy_row[14]) and
                legacy_row[13] != 0):
            errors.append('invalid lethality')

        if errors:
            raise CommandError(
                'DevstarScore for {}:{} had these errors: {}'
                .format(legacy_row[0], legacy_row[1], errors))

        return update_or_save_object(
            command, new_score, recorded_scores, fields_to_compare,
            alternate_pk={'experiment': new_score.experiment})
Exemplo n.º 3
0
    def handle(self, **options):
        require_db_write_acknowledgement()
        return

        if options['all']:
            experiments = Experiment.objects.all()
        else:
            null_devstar_experiment_pks = (
                DevstarScore.objects.filter(
                    area_adult__isnull=True,
                    area_larva__isnull=True,
                    area_embryo__isnull=True)
                .values_list('experiment', flat=True))

            null_devstar_experiments = Experiment.objects.filter(
                pk__in=null_devstar_experiment_pks)

            all_devstar_experiment_pks = (
                DevstarScore.objects.all()
                .values_list('experiment', flat=True))

            no_devstar_experiments = Experiment.objects.exclude(
                pk__in=all_devstar_experiment_pks)

            experiments = sorted(
                chain(null_devstar_experiments, no_devstar_experiments),
                key=lambda instance: instance.id)

        for experiment in experiments:
            path = experiment.get_devstar_count_path()

            if not os.path.isfile(path):
                self.stderr.write('WARNING: Skipping experiment {} due to '
                                  'DevStaR file not found'
                                  .format(experiment))
                continue

            counts = [None] * 6

            with open(path, 'r') as f:
                for line in f:
                    for i, pattern in enumerate(PATTERNS):
                        if line.startswith(pattern):
                            try:
                                counts[i] = int(line.split()[1])
                            except Exception:
                                raise CommandError('Error parsing line {} '
                                                   'in experiment {}'
                                                   .format(i, experiment))

            for i, count in enumerate(counts):
                if count is None:
                    self.stderr.write('WARNING: {} count is missing '
                                      'for experiment {}'
                                      .format(PATTERNS[i], experiment))

            new_score = DevstarScore(
                experiment=experiment,
                is_bacteria_present=counts[0], area_adult=counts[1],
                area_larva=counts[2], area_embryo=counts[3],
                count_adult=counts[4], count_larva=counts[5],
            )

            # If score already exists in database, check for match
            try:
                previous_score = DevstarScore.objects.get(
                    experiment=experiment)

                if not previous_score.matches_raw_fields(new_score):
                    raise CommandError('The DevStaR txt output does '
                                       'not match the existing database '
                                       'entry for Experiment {}'
                                       .format(experiment))

            except ObjectDoesNotExist:
                self.stderr.write('DevStaR object not found for {}. '
                                  'Attempting to save.'
                                  .format(experiment))
                try:
                    new_score.full_clean()

                except ValidationError:
                    raise CommandError('Cleaning DevStaR object {} '
                                       'raised ValidationError'
                                       .format(new_score))
Exemplo n.º 4
0
    def sync_score_row(legacy_row):
        # Build the object using the minimimum fields
        count_adult = legacy_row[8]
        count_larva = legacy_row[9]
        if count_adult == -1:
            count_adult = None
        if count_larva == -1:
            count_larva = None

        machine_call = legacy_row[15]
        if machine_call:
            selected_for_scoring = True
        else:
            selected_for_scoring = False

        new_score = DevstarScore(experiment=get_experiment(
            legacy_row[0], legacy_row[1]),
                                 area_adult=legacy_row[5],
                                 area_larva=legacy_row[6],
                                 area_embryo=legacy_row[7],
                                 count_adult=count_adult,
                                 count_larva=count_larva,
                                 is_bacteria_present=legacy_row[16],
                                 selected_for_scoring=selected_for_scoring,
                                 gi_score_larva_per_adult=legacy_row[17],
                                 gi_score_survival=legacy_row[18])

        # Clean the object to populate the fields derived from other fields
        new_score.clean()

        ###############
        # SANITY CHECKS
        ###############

        errors = []

        new_allele = new_score.experiment.worm_strain.allele
        if (new_allele != legacy_row[2]):
            # Deal with case of legacy database using zc310 instead of zu310
            if (legacy_row[2] == 'zc310' and new_allele == 'zu310'):
                pass

            # Deal with some case sensitivity issues in legacy database
            # (e.g. see experiment 32405, where the allele is capitalized).
            # Can't do lower() in all cases because "N2" should always be
            # capitalized.
            elif new_allele == legacy_row[2].lower():
                pass

            else:
                errors.append('allele mismatch')

        # Deal with case of some experiments having the wrong RNAiPlateID
        # in the legacy database's RawDataWithScore table. This field is
        # redundant with the RawData table, and RawData is more trustworthy;
        # however it is still worthwhile to perform this check in order
        # to find the mismatches, and to confirm manually that each one
        # makes sense.
        new_lp = new_score.experiment.library_stock.plate_id
        legacy_lp = legacy_row[4].replace('_', '-').replace('zc310', 'zu310')
        if (legacy_lp != new_lp
                and new_score.experiment.plate_id not in (461, 8345)
                and ('vidal-' not in new_lp
                     or legacy_lp != new_lp.split('vidal-')[1])):
            errors.append('RNAi plate mismatch: {} {}')

        if new_score.count_embryo != legacy_row[10]:
            errors.append('embryo count mismatch')

        if (new_score.embryo_per_adult and legacy_row[8]
                and legacy_row[8] != -1
                and int(new_score.embryo_per_adult) != legacy_row[11]):
            errors.append('embryo per adult mismatch')

        if (new_score.larva_per_adult and legacy_row[9] and legacy_row[9] != -1
                and int(new_score.larva_per_adult) != legacy_row[12]):
            errors.append('larva per adult mismatch')

        if (new_score.survival and not compare_floats_for_equality(
                new_score.survival, legacy_row[13]) and legacy_row[13] != 0):
            errors.append('invalid survival')

        if (new_score.lethality and not compare_floats_for_equality(
                new_score.lethality, legacy_row[14]) and legacy_row[13] != 0):
            errors.append('invalid lethality')

        if errors:
            raise CommandError(
                'DevstarScore for {}:{} had these errors: {}'.format(
                    legacy_row[0], legacy_row[1], errors))

        return update_or_save_object(
            command,
            new_score,
            recorded_scores,
            fields_to_compare,
            alternate_pk={'experiment': new_score.experiment})