Created
June 23, 2016 15:01
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PacBio Report Example
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import os\n", | |
"import logging\n", | |
"import random\n", | |
"\n", | |
"from pbcommand.models.report import Report, Attribute, PlotGroup, Table, Column, Plot\n", | |
"\n", | |
"log = logging.getLogger(__name__)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Create a Report Attribute " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def example_attributes():\n", | |
" a = Attribute('alpha', 1234, name='Alpha')\n", | |
" b = Attribute('beta', \"b-value\", name=\"Beta Display Name\")\n", | |
" return [a, b]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[<Attribute id:alpha value:1234 name:Alpha >,\n", | |
" <Attribute id:beta value:b-value name:Beta Display Name >]" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"example_attributes()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Example Report Table" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def example_tables():\n", | |
" \"\"\"Return a table with 2 columns\"\"\"\n", | |
" columns = [Column( 'c1id', header='C1 header'),\n", | |
" Column('c2id', header='C2 header')]\n", | |
"\n", | |
" t = Table('myid', title='My Table', columns=columns)\n", | |
"\n", | |
" #Now append data to the columns\n", | |
" #Assume data is a list of tuples of len == 2\n", | |
" datum = [(c.id, random.random()) for c in columns]\n", | |
" for column_id, value in datum:\n", | |
" t.add_data_by_column_id(column_id, value)\n", | |
"\n", | |
" # Alternatively\n", | |
" cx = Column(\"cx\", header=\"X\", values=[1,2,3,4])\n", | |
" cy = Column(\"cy\", header=\"Y\", values=[1,4,9,16])\n", | |
" t2 = Table(\"xy\", title=\"X vs Y\", columns=[cx, cy])\n", | |
" return [t, t2]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[<Table myid title:My Table ncolumns:2 >, <Table xy title:X vs Y ncolumns:2 >]" | |
] | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"example_tables()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Plot Group" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def example_plotgroup():\n", | |
" \"\"\"Return a PlotGroup with 1 plot\"\"\"\n", | |
" # Image paths must be relative to the dir where the final Report is written\n", | |
"\n", | |
" plot = Plot('plot_id', image='image.png', caption='this is a plot a description')\n", | |
" p = PlotGroup('pg_id', title='some title', thumbnail='image_thumb.png', plots=[plot])\n", | |
"\n", | |
" return p" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<PlotGroup id:pg_id title:some title nplots:1 >" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"example_plotgroup()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Example Report" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def example_report():\n", | |
"\n", | |
" tables = example_tables()\n", | |
" attributes = example_attributes()\n", | |
" plotgroup = example_plotgroup()\n", | |
" plotgroups = [plotgroup]\n", | |
"\n", | |
" # Id must match ^[a-z0-9_]+$\n", | |
" r = Report('loading', title=\"Loading Report\",\n", | |
" attributes=attributes,\n", | |
" plotgroups=plotgroups,\n", | |
" tables=tables)\n", | |
" return r" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"r = example_report()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<Report id:loading title:Loading Report uuid:b1f7f60e-dbf4-43a8-b49e-d7c36582fa29 nattributes:2 nplot_groups:1 ntables:2 >" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"r" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"\n", | |
"Table id:myid\n", | |
"--------------------------------\n", | |
"C1 header C2 header \n", | |
"--------------------------------\n", | |
"0.258159525326 0.999834193855 \n", | |
"\n", | |
"Table id:xy\n", | |
"-------\n", | |
"X Y \n", | |
"-------\n", | |
"1 1 \n", | |
"2 4 \n", | |
"3 9 \n", | |
"4 16 \n" | |
] | |
} | |
], | |
"source": [ | |
"for t in r.tables:\n", | |
" print t" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<Attribute id:alpha value:1234 name:Alpha >\n", | |
"<Attribute id:beta value:b-value name:Beta Display Name >\n" | |
] | |
} | |
], | |
"source": [ | |
"for a in r.attributes:\n", | |
" print a" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"'b1f7f60e-dbf4-43a8-b49e-d7c36582fa29'" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"r.uuid" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 2", | |
"language": "python", | |
"name": "python2" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 2 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.10" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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