HPS202H1 Lecture Notes - Chain Reaction, Cotton Gin, Watt Steam Engine

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mauvedinosaur874

15 Oct 2012

School

UTSG

Department

History and Philosophy of Science and Technology

Course

HPS202H1

Professor

G.Garbutt

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Document Summary

The factory system: industrialization part 19/13/2012 6:56:00 am. Manufacture before industrialization : the putting out system. Turnpikes and canals: the transportation system that made factory possible. Raw materials bought and shipped out to new product; think wool. Central agent pays by the piece and collects the finished product from the artisans to be sold on, generally as refined material. By paying by piece don"t have to pay people salary. Mid 17th century british roads are poorly maintained unreliable making transport slow and dangerous. Late 17th turnpike developments companies reliable all weather roads and charging tollds to pay for maintence. Late 17-18th century sees enlargement of river navigations and development of a canal system. By 1750 all towns in england, wales and scotland connected by a reliable road system canals connect the major areas . Turnpikes increased transport entrepreneur"s could later have a diff party for transport; catalogues could be sent out .

Related Questions

Objective: Take a sample feed, parse it, augment it, and output individual JSON objects for each product in it.

product.txt

The file contains several fields of basic product information for 1000 products.
Data for each product is on one line, with fields separated by a vertical pipe character.

This particular retailer classifies products into a particular store, department, category, and subcategory.

Example >

A Blender might have the following "taxonomy" or category classification.

Home & Garden > Kitchen & Dining > Appliances > Blenders

Store

Department

Category

Subcategory

store_id

department_id

category_id

subcategory_id

These IDs are also represented in a sort of shorthand.

They should all be prefixed by the first three letters of their respective field name.

A store_id of 1 becomes sto1

A department_id of 2 becomes dep2

A category_id of 3 becomes cat3

A subcategory_id of 4 becomes sub4

targets.txt

A system to keep track of these various classifications
- Example
  - A store_id of sto40 maps to a “target value” of 187298 in PromoteIQ's system

Output Example:

The desired output for the first product is one line of JSON that when pretty-printed looks like:

{

"sku": "22067130",

"name": "Brainboxes ES-571 Brainboxes Es-571 Industrial Isolated Ethernet to Serial + Switch - 1 x Network (R",

"description": "Brainboxes ES-571 Brand New Includes Lifetime Warranty Product # ES-571 Factory floors can be harsh environments.",

"priceList": 387.95,

"taxonomy": [

"sto2",

"dep7",

"cat270",

"sub18532"

"targetValues": [

187167,

187177,

187950,

196404

]

}

The taxonomy IDs have been mapped to their long form and placed in the taxonomy property.

Each taxonomy ID has also been mapped to its corresponding target value ID from the targets.txt file
- and that result is stored in the targetValues
- The priceList property is the product price as a JSON float, not a string