示例#1
0
    def on_params_is_valid(self, exp, *args, **kwargs):
        # Convert to  BinaryInteraction
        interaction_df = self.upload_interaction.get_as_data_frame()

        interaction = BinaryInteraction(exp.get_data_folder(), str(self.uuid))
        interaction.store_matrix(interaction_df)

        interaction.row_units = self.row_units
        interaction.col_units = self.col_units

        self.set_out_var("interaction", interaction)
        exp.store_block(self)
示例#2
0
def upload_interaction_task(exp, block):
    AllUpdated(exp.pk, comment=u"Processing Upload Interaction block", silent=False, mode=NotifyMode.INFO).send()
    if settings.CELERY_DEBUG:
        import sys

        sys.path.append("/Migration/skola/phd/projects/miXGENE/mixgene_project/wrappers/pycharm-debug.egg")
        import pydevd

        pydevd.settrace("localhost", port=6901, stdoutToServer=True, stderrToServer=True)

    # Convert to  BinaryInteraction
    sep = getattr(block, "csv_sep", " ")
    if block.header:
        _header = 0
    else:
        _header = None
    interaction_df = block.upload_interaction.get_as_data_frame(sep=sep, header=_header)
    sd = None
    # if self.bi_data_type in ["pairs", "triples", "pairs_diff", "triples_diff"]:
    # we have to find a shape of interaction matrix
    features_1 = interaction_df[interaction_df.columns[0]].tolist()
    features_2 = interaction_df[interaction_df.columns[1]].tolist()
    interactions = []
    if block.bi_data_type in ["triples", "triples_diff"]:
        interactions = zip(features_1, features_2, interaction_df[interaction_df.columns[2]].tolist())
    else:
        interactions = zip(features_1, features_2, [1] * len(features_1))
    # new_inters = [expand_inters(inters_a, inters_b, value) for (inters_a, inters_b, value) in interactions]
    # new_inters = [item for sublist in new_inters for item in sublist] # flatten
    features_1 = [a for [a, _, _] in interactions]
    features_2 = [b for [_, b, _] in interactions]
    values = [c for [_, _, c] in interactions]
    interaction_df = pd.DataFrame()
    interaction_df[0] = features_1
    interaction_df[1] = features_2
    interaction_df[2] = values
    interaction = BinaryInteraction(exp.get_data_folder(), str(block.uuid))
    interaction.store_pairs(interaction_df, block.bi_data_type)
    # interaction.row_units = self.row_units
    # interaction.col_units = self.col_units
    interaction.header = block.header
    AllUpdated(
        exp.pk, comment=u"Processing of Upload Interaction block is done", silent=False, mode=NotifyMode.INFO
    ).send()
    return [interaction], {}
示例#3
0
def upload_interaction_task(exp, block):
    AllUpdated(exp.pk,
               comment=u"Processing Upload Interaction block",
               silent=False,
               mode=NotifyMode.INFO).send()
    if settings.CELERY_DEBUG:
        import sys
        sys.path.append(
            '/Migration/skola/phd/projects/miXGENE/mixgene_project/wrappers/pycharm-debug.egg'
        )
        import pydevd
        pydevd.settrace('localhost',
                        port=6901,
                        stdoutToServer=True,
                        stderrToServer=True)

    # Convert to  BinaryInteraction
    sep = getattr(block, "csv_sep", " ")
    if block.header:
        _header = 0
    else:
        _header = None
    interaction_df = block.upload_interaction.get_as_data_frame(sep=sep,
                                                                header=_header)
    sd = None
    # if self.bi_data_type in ["pairs", "triples", "pairs_diff", "triples_diff"]:
    # we have to find a shape of interaction matrix
    features_1 = interaction_df[interaction_df.columns[0]].tolist()
    features_2 = interaction_df[interaction_df.columns[1]].tolist()
    interactions = []
    if block.bi_data_type in ["triples", "triples_diff"]:
        interactions = zip(features_1, features_2,
                           interaction_df[interaction_df.columns[2]].tolist())
    else:
        interactions = zip(features_1, features_2, [1] * len(features_1))
    # new_inters = [expand_inters(inters_a, inters_b, value) for (inters_a, inters_b, value) in interactions]
    # new_inters = [item for sublist in new_inters for item in sublist] # flatten
    features_1 = [a for [a, _, _] in interactions]
    features_2 = [b for [_, b, _] in interactions]
    values = [c for [_, _, c] in interactions]
    interaction_df = pd.DataFrame()
    interaction_df[0] = features_1
    interaction_df[1] = features_2
    interaction_df[2] = values
    interaction = BinaryInteraction(exp.get_data_folder(), str(block.uuid))
    interaction.store_pairs(interaction_df, block.bi_data_type)
    interaction.x1_unit = getattr(block, "x1_unit", "")
    interaction.x2_unit = getattr(block, "x2_unit", "")
    interaction.header = block.header
    AllUpdated(exp.pk,
               comment=u"Processing of Upload Interaction block is done",
               silent=False,
               mode=NotifyMode.INFO).send()
    return [interaction], {}
示例#4
0
    def on_params_is_valid(self, exp, *args, **kwargs):
        # Convert to  BinaryInteraction
        interaction_df = self.upload_interaction.get_as_data_frame()

        interaction = BinaryInteraction(exp.get_data_folder(), str(self.uuid))
        interaction.store_matrix(interaction_df)

        interaction.row_units = self.row_units
        interaction.col_units = self.col_units

        self.set_out_var("interaction", interaction)
        exp.store_block(self)